def clou_info(data, units):
"""Gets the cloud cover info."""
# Get the data.
num_days = len(data)
clou_data1, clou_data2 = datasets.split_list3(datasets.get_column(data, 8))
# Get the number of days of each cloud cover.
clou_cover = Counter(clou_data1)
m_list1 = clou_cover.most_common()
m_dict1 = {}
for i in m_list1:
m_dict1[i[0]] = i[1]
# Get the number of days of each cloud type.
clou_type = Counter(datasets.strip_items(clou_data2, ["(", ")"]))
m_list2 = clou_type.most_common()
m_dict2 = {}
for i in m_list2:
m_dict2[i[0]] = i[1]
# If any of the items don't appear, add dict items for them, with the values set to 0.
if "Sunny" not in m_dict1:
m_dict1["Sunny"] = 0
if "Mostly Sunny" not in m_dict1:
m_dict1["Mostly Sunny"] = 0
if "Partly Cloudy" not in m_dict1:
m_dict1["Partly Cloudy"] = 0
if "Mostly Cloudy" not in m_dict1:
m_dict1["Mostly Cloudy"] = 0
if "Cloudy" not in m_dict1:
m_dict1["Cloudy"] = 0
if "None" not in m_dict2:
m_dict2["None"] = 0
if "Unknown" not in m_dict2:
m_dict2["Unknown"] = 0
if "Cirrus" not in m_dict2:
m_dict2["Cirrus"] = 0
if "Cirrocumulus" not in m_dict2:
m_dict2["Cirrocumulus"] = 0
if "Cirrostratus" not in m_dict2:
m_dict2["Cirrostratus"] = 0
if "Cumulonimbus" not in m_dict2:
m_dict2["Cumulonimbus"] = 0
if "Altocumulus" not in m_dict2:
m_dict2["Altocumulus"] = 0
if "Altostratus" not in m_dict2:
m_dict2["Altostratus"] = 0
if "Stratus" not in m_dict2:
m_dict2["Stratus"] = 0
if "Cumulus" not in m_dict2:
m_dict2["Cumulus"] = 0
if "Stratocumulus" not in m_dict2:
m_dict2["Stratocumulus"] = 0
# Create the data list.
data2 = [
[
"Most common cloud cover",
"%s (%s occurrences)" % (m_list1[0][0], m_list1[0][1])
],
[
"Most common cloud type",
"%s (%s occurrences)" % (m_list2[0][0], m_list2[0][1])
],
[
"Days sunny",
"%s day%s (%d%%)" %
(m_dict1["Sunny"], "" if m_dict1["Sunny"] == 1 else "s",
(m_dict1["Sunny"] / num_days) * 100)
],
[
"Days mostly sunny",
"%s day%s (%d%%)" % (m_dict1["Mostly Sunny"],
"" if m_dict1["Mostly Sunny"] == 1 else "s",
(m_dict1["Mostly Sunny"] / num_days) * 100)
],
[
"Days partly cloudy",
"%s day%s (%d%%)" % (m_dict1["Partly Cloudy"],
"" if m_dict1["Partly Cloudy"] == 1 else "s",
(m_dict1["Partly Cloudy"] / num_days) * 100)
],
[
"Days mostly cloudy",
"%s day%s (%d%%)" % (m_dict1["Mostly Cloudy"],
"" if m_dict1["Mostly Cloudy"] == 1 else "s",
(m_dict1["Mostly Cloudy"] / num_days) * 100)
],
[
"Days cloudy",
"%s day%s (%d%%)" %
(m_dict1["Cloudy"], "" if m_dict1["Cloudy"] == 1 else "s",
(m_dict1["Cloudy"] / num_days) * 100)
],
[
"Days with no clouds",
"%s day%s (%d%%)" %
(m_dict2["None"], "" if m_dict2["None"] == 1 else "s",
(m_dict2["None"] / num_days) * 100)
],
[
"Days with unknown clouds",
"%s day%s (%d%%)" %
(m_dict2["Unknown"], "" if m_dict2["Unknown"] == 1 else "s",
(m_dict2["Unknown"] / num_days) * 100)
],
[
"Days with cirrus",
"%s day%s (%d%%)" %
(m_dict2["Cirrus"], "" if m_dict2["Cirrus"] == 1 else "s",
(m_dict2["Unknown"] / num_days) * 100)
],
[
"Days with cirrocumulus",
"%s day%s (%d%%)" % (m_dict2["Cirrocumulus"],
"" if m_dict2["Cirrocumulus"] == 1 else "s",
(m_dict2["Cirrocumulus"] / num_days) * 100)
],
[
"Days with cirrostratos",
"%s day%s (%d%%)" % (m_dict2["Cirrostratus"],
"" if m_dict2["Cirrostratus"] == 1 else "s",
(m_dict2["Cirrostratus"] / num_days) * 100)
],
[
"Days with cumulonimbus",
"%s day%s (%d%%)" % (m_dict2["Cumulonimbus"],
"" if m_dict2["Cumulonimbus"] == 1 else "s",
(m_dict2["Cumulonimbus"] / num_days) * 100)
],
[
"Days with altocumulus",
"%s day%s (%d%%)" % (m_dict2["Altocumulus"],
"" if m_dict2["Altocumulus"] == 1 else "s",
(m_dict2["Altocumulus"] / num_days) * 100)
],
[
"Days with altostratus",
"%s day%s (%d%%)" % (m_dict2["Altostratus"],
"" if m_dict2["Altostratus"] == 1 else "s",
(m_dict2["Altostratus"] / num_days) * 100)
],
[
"Days with stratus",
"%s day%s (%d%%)" %
(m_dict2["Stratus"], "" if m_dict2["Stratus"] == 1 else "s",
(m_dict2["Stratus"] / num_days) * 100)
],
[
"Days with cumulus",
"%s day%s (%d%%)" %
(m_dict2["Cumulus"], "" if m_dict2["Cumulus"] == 1 else "s",
(m_dict2["Cumulus"] / num_days) * 100)
],
[
"Days with stratocumulus",
"%s day%s (%d%%)" % (m_dict2["Stratocumulus"],
"" if m_dict2["Stratocumulus"] == 1 else "s",
(m_dict2["Stratocumulus"] / num_days) * 100)
]
]
return data2
def filter_data(data, condition):
"""Filters the data based on the user's conditions."""
# Create the list for the filtered data.
filtered = []
# Get the column of the data that is being filtered.
string_compare = False
col = []
field = condition[0].lower()
if field == "temperature":
col = datasets.convert_float(datasets.get_column(data, 1))
elif field == "wind chill":
col = datasets.convert_float(datasets.get_column(data, 2))
elif field == "precipitation amount":
col = datasets.get_column(data, 3)
col = datasets.convert_float(datasets.none_to_zero(datasets.split_list(col)[0]))
elif field == "precipitation type":
string_compare = True
ncol = datasets.get_column(data, 3)
col = []
for i in ncol:
if i == "None":
col.append(i)
else:
i_split = i.split(" ")
col.append(i_split[1])
elif field == "wind speed":
col = datasets.get_column(data, 4)
col = datasets.convert_float(datasets.none_to_zero(datasets.split_list(col)[0]))
elif field == "wind direction":
string_compare = True
ncol = datasets.get_column(data, 4)
col = []
for i in ncol:
if i == "None":
col.append(i)
else:
i_split = i.split(" ")
col.append(i_split[1])
elif field == "humidity":
col = datasets.convert_float(datasets.get_column(data, 5))
elif field == "air pressure":
col = datasets.convert_float(datasets.split_list(datasets.get_column(data, 6))[0])
elif field == "air pressure change":
string_compare = True
col = datasets.split_list(datasets.get_column(data, 6))[1]
elif field == "visibility":
col = datasets.convert_float(datasets.get_column(data, 7))
elif field == "cloud cover":
string_compare = True
col = datasets.split_list3(datasets.get_column(data, 8))[0]
elif field == "cloud type":
string_compare = True
col = datasets.strip_items(datasets.split_list3(datasets.get_column(data, 8))[1], ["(", ")"])
elif field == "notes":
string_compare = True
col = datasets.get_column(data, 9)
# Loop through the data, and add it to the filtered list if it matches the condition.
for i in range(0, len(data)):
matches = filter_compare(col[i], condition[1].lower(), condition[2], string_compare)
if matches:
filtered.append(data[i])
return filtered
def general_info(data, units):
"""Gets the general info."""
# Get the date data.
date_data = datasets.get_column(data, 0)
date_first = date_data[0]
date_last = date_data[len(date_data) - 1]
date_first2 = datetime.datetime.strptime(date_first, "%d/%m/%Y")
date_last2 = datetime.datetime.strptime(date_last, "%d/%m/%Y")
date_num = (date_last2 - date_first2).days + 1
day_num = len(data)
# Get the temperature data.
temp_data = datasets.convert_float(datasets.get_column(data, 1))
temp_low = min(temp_data)
temp_high = max(temp_data)
temp_avg = calculations.mean(temp_data)
# Get the wind chill data.
chil_data = datasets.convert_float(datasets.get_column(data, 2))
chil_low = min(chil_data)
chil_high = max(chil_data)
chil_avg = calculations.mean(chil_data)
# Get the precipitation data.
prec_data1, prec_data2 = datasets.split_list(datasets.get_column(data, 3))
prec_data1 = datasets.convert_float(datasets.none_to_zero(prec_data1))
try:
prec_low = min(prec_data1)
prec_high = max(prec_data1)
prec_avg = calculations.mean(prec_data1)
except ZeroDivisionError:
prec_low = "None"
prec_high = "None"
prec_avg = "None"
# Get the wind data.
wind_data1, wind_data2 = datasets.split_list(datasets.get_column(data, 4))
wind_data1 = datasets.convert_float(datasets.none_to_zero(wind_data1))
try:
wind_low = min(wind_data1)
wind_high = max(wind_data1)
wind_avg = calculations.mean(wind_data1)
except ZeroDivisionError:
wind_low = "None"
wind_high = "None"
wind_avg = "None"
# Get the humidity data.
humi_data = datasets.convert_float(datasets.get_column(data, 5))
humi_low = min(humi_data)
humi_high = max(humi_data)
humi_avg = calculations.mean(humi_data)
# Get the air pressure data.
airp_data1, airp_data2 = datasets.split_list(datasets.get_column(data, 6))
airp_data1 = datasets.convert_float(airp_data1)
airp_low = min(airp_data1)
airp_high = max(airp_data1)
airp_avg = calculations.mean(airp_data1)
# Get the visibility data.
visi_data = datasets.convert_float(datasets.get_column(data, 7))
visi_low = min(visi_data)
visi_high = max(visi_data)
visi_avg = calculations.mean(visi_data)
# Get the cloud cover data.
clou_data = datasets.split_list3(datasets.get_column(data, 8))
clou_data1 = Counter(clou_data[0])
clou_data2 = Counter(datasets.strip_items(clou_data[1], ["(", ")"]))
clou_data1_counter = clou_data1.most_common(1)[0]
clou_data2_counter = clou_data2.most_common(1)[0]
clou_mode1 = clou_data1_counter[0]
clou_mode1_count = clou_data1_counter[1]
clou_mode2 = clou_data2_counter[0]
clou_mode2_count = clou_data2_counter[1]
# Change any values, if needed.
prec_low = "None" if prec_low == "None" else ("%.2f %s" %
(prec_low, units["prec"]))
prec_high = "None" if prec_high == "None" else ("%.2f %s" %
(prec_high, units["prec"]))
prec_avg = "None" if prec_avg == "None" else ("%.2f %s" %
(prec_avg, units["prec"]))
wind_low = "None" if wind_low == "None" else ("%.2f %s" %
(wind_low, units["wind"]))
wind_high = "None" if wind_high == "None" else ("%.2f %s" %
(wind_high, units["wind"]))
wind_avg = "None" if wind_avg == "None" else ("%.2f %s" %
(wind_avg, units["wind"]))
# Create the data list.
data2 = [["First date", "%s" % date_first],
["Last date", "%s" % date_last],
["Number of days", "%d days" % day_num],
["Range of days", "%d days" % date_num],
["Lowest temperature",
"%.2f %s" % (temp_low, units["temp"])],
["Highest temperature",
"%.2f %s" % (temp_high, units["temp"])],
["Average temperature",
"%.2f %s" % (temp_avg, units["temp"])],
["Lowest wind chill",
"%.2f %s" % (chil_low, units["temp"])],
["Highest wind chill",
"%.2f %s" % (chil_high, units["temp"])],
["Average wind chill",
"%.2f %s" % (chil_avg, units["temp"])],
["Lowest precipitation", prec_low],
["Highest precipitation", prec_high],
["Average precipitation", prec_avg],
["Lowest wind speed",
wind_low], ["Highest wind speed", wind_high],
["Average wind speed", wind_avg],
["Lowest humidity", "%.2f%%" % humi_low],
["Highest humidity", "%.2f%%" % humi_high],
["Average humidity", "%.2f%%" % humi_avg],
["Lowest air pressure",
"%.2f %s" % (airp_low, units["airp"])],
["Highest air pressure",
"%.2f %s" % (airp_high, units["airp"])],
["Average air pressure",
"%.2f %s" % (airp_avg, units["airp"])],
["Lowest visibility",
"%.2f %s" % (visi_low, units["visi"])],
["Highest visibility",
"%.2f %s" % (visi_high, units["visi"])],
["Average visibility",
"%.2f %s" % (visi_avg, units["visi"])],
[
"Most common cloud cover",
"%s (%d occurrences)" % (clou_mode1, clou_mode1_count)
],
[
"Most common cloud type",
"%s (%d occurrences)" % (clou_mode2, clou_mode2_count)
]]
return data2
def general_info(data, units):
"""Gets the general info."""
# Get the date data.
date_data = datasets.get_column(data, 0)
date_first = date_data[0]
date_last = date_data[len(date_data) - 1]
date_first2 = datetime.datetime.strptime(date_first, "%d/%m/%Y")
date_last2 = datetime.datetime.strptime(date_last, "%d/%m/%Y")
date_num = (date_last2 - date_first2).days + 1
day_num = len(data)
# Get the temperature data.
temp_data = datasets.convert_float(datasets.get_column(data, 1))
temp_low = min(temp_data)
temp_high = max(temp_data)
temp_avg = calculations.mean(temp_data)
# Get the wind chill data.
chil_data = datasets.convert_float(datasets.get_column(data, 2))
chil_low = min(chil_data)
chil_high = max(chil_data)
chil_avg = calculations.mean(chil_data)
# Get the precipitation data.
prec_data1, prec_data2 = datasets.split_list(datasets.get_column(data, 3))
prec_data1 = datasets.convert_float(datasets.none_to_zero(prec_data1))
try:
prec_low = min(prec_data1)
prec_high = max(prec_data1)
prec_avg = calculations.mean(prec_data1)
except:
prec_low = "None"
prec_high = "None"
prec_avg = "None"
# Get the wind data.
wind_data1, wind_data2 = datasets.split_list(datasets.get_column(data, 4))
wind_data1 = datasets.convert_float(datasets.none_to_zero(wind_data1))
try:
wind_low = min(wind_data1)
wind_high = max(wind_data1)
wind_avg = calculations.mean(wind_data1)
except:
wind_low = "None"
wind_high = "None"
wind_avg = "None"
# Get the humidity data.
humi_data = datasets.convert_float(datasets.get_column(data, 5))
humi_low = min(humi_data)
humi_high = max(humi_data)
humi_avg = calculations.mean(humi_data)
# Get the air pressure data.
airp_data1, airp_data2 = datasets.split_list(datasets.get_column(data, 6))
airp_data1 = datasets.convert_float(airp_data1)
airp_low = min(airp_data1)
airp_high = max(airp_data1)
airp_avg = calculations.mean(airp_data1)
# Get the visibility data.
visi_data = datasets.convert_float(datasets.get_column(data, 7))
visi_low = min(visi_data)
visi_high = max(visi_data)
visi_avg = calculations.mean(visi_data)
# Get the cloud cover data.
clou_data = datasets.split_list3(datasets.get_column(data, 8))
clou_data1 = Counter(clou_data[0])
clou_data2 = Counter(datasets.strip_items(clou_data[1], ["(", ")"]))
clou_data1_counter = clou_data1.most_common(1)[0]
clou_data2_counter = clou_data2.most_common(1)[0]
clou_mode1 = clou_data1_counter[0]
clou_mode1_count = clou_data1_counter[1]
clou_mode2 = clou_data2_counter[0]
clou_mode2_count = clou_data2_counter[1]
# Change any values, if needed.
prec_low = "None" if prec_low == "None" else ("%.2f %s" % (prec_low, units["prec"]))
prec_high = "None" if prec_high == "None" else ("%.2f %s" % (prec_high, units["prec"]))
prec_avg = "None" if prec_avg == "None" else ("%.2f %s" % (prec_avg, units["prec"]))
wind_low = "None" if wind_low == "None" else ("%.2f %s" % (wind_low, units["wind"]))
wind_high = "None" if wind_high == "None" else ("%.2f %s" % (wind_high, units["wind"]))
wind_avg = "None" if wind_avg == "None" else ("%.2f %s" % (wind_avg, units["wind"]))
# Create the data list.
data2 = [
["First date", "%s" % date_first],
["Last date", "%s" % date_last],
["Number of days", "%d days" % day_num],
["Range of days", "%d days" % date_num],
["Lowest temperature", "%.2f %s" % (temp_low, units["temp"])],
["Highest temperature", "%.2f %s" % (temp_high, units["temp"])],
["Average temperature", "%.2f %s" % (temp_avg, units["temp"])],
["Lowest wind chill", "%.2f %s" % (chil_low, units["temp"])],
["Highest wind chill", "%.2f %s" % (chil_high, units["temp"])],
["Average wind chill", "%.2f %s" % (chil_avg, units["temp"])],
["Lowest precipitation", prec_low],
["Highest precipitation", prec_high],
["Average precipitation", prec_avg],
["Lowest wind speed", wind_low],
["Highest wind speed", wind_high],
["Average wind speed", wind_avg],
["Lowest humidity", "%.2f%%" % humi_low],
["Highest humidity", "%.2f%%" % humi_high],
["Average humidity", "%.2f%%" % humi_avg],
["Lowest air pressure", "%.2f %s" % (airp_low, units["airp"])],
["Highest air pressure", "%.2f %s" % (airp_high, units["airp"])],
["Average air pressure", "%.2f %s" % (airp_avg, units["airp"])],
["Lowest visibility", "%.2f %s" % (visi_low, units["visi"])],
["Highest visibility", "%.2f %s" % (visi_high, units["visi"])],
["Average visibility", "%.2f %s" % (visi_avg, units["visi"])],
["Most common cloud cover", "%s (%d occurrences)" % (clou_mode1, clou_mode1_count)],
["Most common cloud type", "%s (%d occurrences)" % (clou_mode2, clou_mode2_count)]
]
return data2
def clou_info(data, units):
"""Gets the cloud cover info."""
# Get the data.
num_days = len(data)
clou_data1, clou_data2 = datasets.split_list3(datasets.get_column(data, 8))
# Get the number of days of each cloud cover.
clou_cover = Counter(clou_data1)
m_list1 = clou_cover.most_common()
m_dict1 = {}
for i in m_list1:
m_dict1[i[0]] = i[1]
# Get the number of days of each cloud type.
clou_type = Counter(datasets.strip_items(clou_data2, ["(", ")"]))
m_list2 = clou_type.most_common()
m_dict2 = {}
for i in m_list2:
m_dict2[i[0]] = i[1]
# If any of the items don't appear, add dict items for them, with the values set to 0.
if not "Sunny" in m_dict1:
m_dict1["Sunny"] = 0
if not "Mostly Sunny" in m_dict1:
m_dict1["Mostly Sunny"] = 0
if not "Partly Cloudy" in m_dict1:
m_dict1["Partly Cloudy"] = 0
if not "Mostly Cloudy" in m_dict1:
m_dict1["Mostly Cloudy"] = 0
if not "Cloudy" in m_dict1:
m_dict1["Cloudy"] = 0
if not "None" in m_dict2:
m_dict2["None"] = 0
if not "Unknown" in m_dict2:
m_dict2["Unknown"] = 0
if not "Cirrus" in m_dict2:
m_dict2["Cirrus"] = 0
if not "Cirrocumulus" in m_dict2:
m_dict2["Cirrocumulus"] = 0
if not "Cirrostratus" in m_dict2:
m_dict2["Cirrostratus"] = 0
if not "Cumulonimbus" in m_dict2:
m_dict2["Cumulonimbus"] = 0
if not "Altocumulus" in m_dict2:
m_dict2["Altocumulus"] = 0
if not "Altostratus" in m_dict2:
m_dict2["Altostratus"] = 0
if not "Stratus" in m_dict2:
m_dict2["Stratus"] = 0
if not "Cumulus" in m_dict2:
m_dict2["Cumulus"] = 0
if not "Stratocumulus" in m_dict2:
m_dict2["Stratocumulus"] = 0
# Create the data list.
data2 = [
["Most common cloud cover", "%s (%s occurrences)" % (m_list1[0][0], m_list1[0][1])],
["Most common cloud type", "%s (%s occurrences)" % (m_list2[0][0], m_list2[0][1])],
["Days sunny", "%s day%s (%d%%)" % (m_dict1["Sunny"], "" if m_dict1["Sunny"] == 1 else "s", (m_dict1["Sunny"] / num_days) * 100)],
["Days mostly sunny", "%s day%s (%d%%)" % (m_dict1["Mostly Sunny"], "" if m_dict1["Mostly Sunny"] == 1 else "s", (m_dict1["Mostly Sunny"] / num_days) * 100)],
["Days partly cloudy", "%s day%s (%d%%)" % (m_dict1["Partly Cloudy"], "" if m_dict1["Partly Cloudy"] == 1 else "s", (m_dict1["Partly Cloudy"] / num_days) * 100)],
["Days mostly cloudy", "%s day%s (%d%%)" % (m_dict1["Mostly Cloudy"], "" if m_dict1["Mostly Cloudy"] == 1 else "s", (m_dict1["Mostly Cloudy"] / num_days) * 100)],
["Days cloudy", "%s day%s (%d%%)" % (m_dict1["Cloudy"], "" if m_dict1["Cloudy"] == 1 else "s", (m_dict1["Cloudy"] / num_days) * 100)],
["Days with no clouds", "%s day%s (%d%%)" % (m_dict2["None"], "" if m_dict2["None"] == 1 else "s", (m_dict2["None"] / num_days) * 100)],
["Days with unknown clouds", "%s day%s (%d%%)" % (m_dict2["Unknown"], "" if m_dict2["Unknown"] == 1 else "s", (m_dict2["Unknown"] / num_days) * 100)],
["Days with cirrus", "%s day%s (%d%%)" % (m_dict2["Cirrus"], "" if m_dict2["Cirrus"] == 1 else "s", (m_dict2["Unknown"] / num_days) * 100)],
["Days with cirrocumulus", "%s day%s (%d%%)" % (m_dict2["Cirrocumulus"], "" if m_dict2["Cirrocumulus"] == 1 else "s", (m_dict2["Cirrocumulus"] / num_days) * 100)],
["Days with cirrostratos", "%s day%s (%d%%)" % (m_dict2["Cirrostratus"], "" if m_dict2["Cirrostratus"] == 1 else "s", (m_dict2["Cirrostratus"] / num_days) * 100)],
["Days with cumulonimbus", "%s day%s (%d%%)" % (m_dict2["Cumulonimbus"], "" if m_dict2["Cumulonimbus"] == 1 else "s", (m_dict2["Cumulonimbus"] / num_days) * 100)],
["Days with altocumulus", "%s day%s (%d%%)" % (m_dict2["Altocumulus"], "" if m_dict2["Altocumulus"] == 1 else "s", (m_dict2["Altocumulus"] / num_days) * 100)],
["Days with altostratus", "%s day%s (%d%%)" % (m_dict2["Altostratus"], "" if m_dict2["Altostratus"] == 1 else "s", (m_dict2["Altostratus"] / num_days) * 100)],
["Days with stratus", "%s day%s (%d%%)" % (m_dict2["Stratus"], "" if m_dict2["Stratus"] == 1 else "s", (m_dict2["Stratus"] / num_days) * 100)],
["Days with cumulus", "%s day%s (%d%%)" % (m_dict2["Cumulus"], "" if m_dict2["Cumulus"] == 1 else "s", (m_dict2["Cumulus"] / num_days) * 100)],
["Days with stratocumulus", "%s day%s (%d%%)" % (m_dict2["Stratocumulus"], "" if m_dict2["Stratocumulus"] == 1 else "s", (m_dict2["Stratocumulus"] / num_days) * 100)]
]
return data2
def __init__(self, parent, profile, data, date, units):
"""Create the dialog."""
# Determine the default units.
unit = 0
if units["prec"] == "in":
unit = 1
# Create the dialog
Gtk.Dialog.__init__(self, "Edit %s - %s" % (date, profile), parent, Gtk.DialogFlags.MODAL)
self.set_size_request(500, 600)
self.set_resizable(False)
self.add_button("Cancel", Gtk.ResponseType.CANCEL)
self.add_button("OK", Gtk.ResponseType.OK)
# Create the grids.
new_box = self.get_content_area()
new_grid = Gtk.Grid()
new_grid.set_column_spacing(3)
new_grid.set_row_spacing(3)
new_box.add(new_grid)
# Temperature entry
temp_lbl = Gtk.Label("Temperature: ")
temp_lbl.set_alignment(0, 0.5)
new_grid.add(temp_lbl)
if units["temp"] == "°C":
temp_adj = Gtk.Adjustment(lower = -100, upper = 100, step_increment = 1)
else:
temp_adj = Gtk.Adjustment(lower = -150, upper = 150, step_increment = 1)
self.temp_sbtn = Gtk.SpinButton(digits = 2, adjustment = temp_adj)
self.temp_sbtn.set_numeric(False)
self.temp_sbtn.set_value(0)
new_grid.attach_next_to(self.temp_sbtn, temp_lbl, Gtk.PositionType.RIGHT, 1, 1)
self.temp_unit = Gtk.ComboBoxText()
for i in ["°C", "°F"]:
self.temp_unit.append_text(i)
self.temp_unit.set_active(unit)
new_grid.attach_next_to(self.temp_unit, self.temp_sbtn, Gtk.PositionType.RIGHT, 1, 1)
# Wind Chill entry
chil_lbl = Gtk.Label("Wind Chill: ")
chil_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(chil_lbl, temp_lbl, Gtk.PositionType.BOTTOM, 1, 1)
if units["temp"] == "°C":
chil_adj = Gtk.Adjustment(lower = -100, upper = 100, step_increment = 1)
else:
chil_adj = Gtk.Adjustment(lower = -150, upper = 150, step_increment = 1)
self.chil_sbtn = Gtk.SpinButton(digits = 2, adjustment = chil_adj)
self.chil_sbtn.set_numeric(False)
self.chil_sbtn.set_value(0)
new_grid.attach_next_to(self.chil_sbtn, chil_lbl, Gtk.PositionType.RIGHT, 1, 1)
self.chil_unit = Gtk.ComboBoxText()
for i in ["°C", "°F"]:
self.chil_unit.append_text(i)
self.chil_unit.set_active(unit)
new_grid.attach_next_to(self.chil_unit, self.chil_sbtn, Gtk.PositionType.RIGHT, 1, 1)
# Precipitation entry
prec_lbl = Gtk.Label("Precipitation: ")
prec_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(prec_lbl, chil_lbl, Gtk.PositionType.BOTTOM, 1, 1)
prec_adj = Gtk.Adjustment(lower = 0, upper = 100, step_increment = 1)
self.prec_sbtn = Gtk.SpinButton(digits = 2, adjustment = prec_adj)
self.prec_sbtn.set_numeric(False)
self.prec_sbtn.set_value(0)
new_grid.attach_next_to(self.prec_sbtn, prec_lbl, Gtk.PositionType.RIGHT, 1, 1)
self.prec_unit = Gtk.ComboBoxText()
for i in ["cm", "in"]:
self.prec_unit.append_text(i)
self.prec_unit.set_active(unit)
new_grid.attach_next_to(self.prec_unit, self.prec_sbtn, Gtk.PositionType.RIGHT, 1, 1)
# Precipitation Type entry
prec_lbl2 = Gtk.Label("Precipitation Type: ")
prec_lbl2.set_alignment(0, 0.5)
new_grid.attach_next_to(prec_lbl2, prec_lbl, Gtk.PositionType.BOTTOM, 1, 1)
self.prec_com = Gtk.ComboBoxText()
for i in ["None", "Rain", "Snow", "Hail", "Sleet"]:
self.prec_com.append_text(i)
self.prec_com.set_active(0)
new_grid.attach_next_to(self.prec_com, prec_lbl2, Gtk.PositionType.RIGHT, 2, 1)
# Wind Speed entry
wind_lbl = Gtk.Label("Wind Speed: ")
wind_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(wind_lbl, prec_lbl2, Gtk.PositionType.BOTTOM, 1, 1)
wind_adj = Gtk.Adjustment(lower = 0, upper = 500, step_increment = 1)
self.wind_sbtn = Gtk.SpinButton(digits = 2, adjustment = wind_adj)
self.wind_sbtn.set_numeric(False)
self.wind_sbtn.set_value(0)
new_grid.attach_next_to(self.wind_sbtn, wind_lbl, Gtk.PositionType.RIGHT, 1, 1)
self.wind_unit = Gtk.ComboBoxText()
for i in ["kph", "mph"]:
self.wind_unit.append_text(i)
self.wind_unit.set_active(unit)
new_grid.attach_next_to(self.wind_unit, self.wind_sbtn, Gtk.PositionType.RIGHT, 1, 1)
# Wind Direction entry
wind_lbl2 = Gtk.Label("Wind Direction: ")
wind_lbl2.set_alignment(0, 0.5)
new_grid.attach_next_to(wind_lbl2, wind_lbl, Gtk.PositionType.BOTTOM, 1, 1)
self.wind_com = Gtk.ComboBoxText()
for i in ["None", "N", "NNE", "NE", "ENE", "E", "ESE", "SE", "SSE", "S", "SSW", "SW", "WSW", "W", "WNW", "NW", "NNW"]:
self.wind_com.append_text(i)
self.wind_com.set_active(0)
new_grid.attach_next_to(self.wind_com, wind_lbl2, Gtk.PositionType.RIGHT, 2, 1)
# Humidity entry
humi_lbl = Gtk.Label("Humidity %: ")
humi_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(humi_lbl, wind_lbl2, Gtk.PositionType.BOTTOM, 1, 1)
humi_adj = Gtk.Adjustment(lower = 0, upper = 100, step_increment = 1)
self.humi_sbtn = Gtk.SpinButton(digits = 2, adjustment = humi_adj)
self.humi_sbtn.set_numeric(False)
self.humi_sbtn.set_value(0)
new_grid.attach_next_to(self.humi_sbtn, humi_lbl, Gtk.PositionType.RIGHT, 2, 1)
# Air Pressure entry
airp_lbl = Gtk.Label("Air Pressure: ")
airp_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(airp_lbl, humi_lbl, Gtk.PositionType.BOTTOM, 1, 1)
airp_adj = Gtk.Adjustment(lower = 0, upper = 2000, step_increment = 1)
self.airp_sbtn = Gtk.SpinButton(digits = 2, adjustment = airp_adj)
self.airp_sbtn.set_numeric(False)
self.airp_sbtn.set_value(0)
new_grid.attach_next_to(self.airp_sbtn, airp_lbl, Gtk.PositionType.RIGHT, 1, 1)
self.airp_unit = Gtk.ComboBoxText()
for i in ["hPa", "mbar"]:
self.airp_unit.append_text(i)
self.airp_unit.set_active(unit)
new_grid.attach_next_to(self.airp_unit, self.airp_sbtn, Gtk.PositionType.RIGHT, 1, 1)
# Air Pressure Change entry
airp_lbl2 = Gtk.Label("Air Pressure Change: ")
airp_lbl2.set_alignment(0, 0.5)
new_grid.attach_next_to(airp_lbl2, airp_lbl, Gtk.PositionType.BOTTOM, 1, 1)
self.airp_com = Gtk.ComboBoxText()
for i in ["Steady", "Rising", "Falling"]:
self.airp_com.append_text(i)
self.airp_com.set_active(0)
new_grid.attach_next_to(self.airp_com, airp_lbl2, Gtk.PositionType.RIGHT, 2, 1)
# Visibility entry
visi_lbl = Gtk.Label("Visibility: ")
visi_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(visi_lbl, airp_lbl2, Gtk.PositionType.BOTTOM, 1, 1)
visi_adj = Gtk.Adjustment(lower = 0, upper = 1000, step_increment = 1)
self.visi_sbtn = Gtk.SpinButton(digits = 2, adjustment = visi_adj)
self.visi_sbtn.set_numeric(False)
self.visi_sbtn.set_value(0)
new_grid.attach_next_to(self.visi_sbtn, visi_lbl, Gtk.PositionType.RIGHT, 1, 1)
self.visi_unit = Gtk.ComboBoxText()
for i in ["km", "mi"]:
self.visi_unit.append_text(i)
self.visi_unit.set_active(unit)
new_grid.attach_next_to(self.visi_unit, self.visi_sbtn, Gtk.PositionType.RIGHT, 1, 1)
# Cloud Cover entry
clou_lbl = Gtk.Label("Cloud Cover: ")
clou_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(clou_lbl, visi_lbl, Gtk.PositionType.BOTTOM, 1, 1)
self.clou_com = Gtk.ComboBoxText()
for i in ["Sunny", "Mostly Sunny", "Partly Cloudy", "Mostly Cloudy", "Cloudy"]:
self.clou_com.append_text(i)
self.clou_com.set_active(0)
new_grid.attach_next_to(self.clou_com, clou_lbl, Gtk.PositionType.RIGHT, 2, 1)
# Cloud Type entry
clou_lbl2 = Gtk.Label("Cloud Type: ")
clou_lbl2.set_alignment(0, 0.5)
new_grid.attach_next_to(clou_lbl2, clou_lbl, Gtk.PositionType.BOTTOM, 1, 1)
self.clou_com2 = Gtk.ComboBoxText()
for i in ["None", "Unknown", "Cirrus", "Cirrocumulus", "Cirrostratus", "Cumulonimbus", "Altocumulus", "Altostratus",
"Stratus", "Cumulus", "Stratocumulus"]:
self.clou_com2.append_text(i)
self.clou_com2.set_active(0)
new_grid.attach_next_to(self.clou_com2, clou_lbl2, Gtk.PositionType.RIGHT, 2, 1)
# Notes entry
note_lbl = Gtk.Label("Notes: ", valign = Gtk.Align.START)
note_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(note_lbl, clou_lbl2, Gtk.PositionType.BOTTOM, 1, 1)
self.note_view = Gtk.TextView()
self.note_view.set_wrap_mode(Gtk.WrapMode.WORD)
self.note_buffer = self.note_view.get_buffer()
note_win = Gtk.ScrolledWindow()
note_win.set_hexpand(True)
note_win.set_vexpand(True)
note_win.set_size_request(100, 100)
note_win.add(self.note_view)
new_grid.attach_next_to(note_win, note_lbl, Gtk.PositionType.RIGHT, 2, 1)
# Set the values.
self.temp_sbtn.set_value(float(data[1]))
self.chil_sbtn.set_value(float(data[2]))
if data[3] != "None":
d2 = data[3].split(" ")
prec_list = ["None", "Rain", "Snow", "Hail", "Sleet"]
for i in range(0, len(prec_list)):
if d2[1] == prec_list[i]:
self.prec_com.set_active(i)
break
self.prec_sbtn.set_value(float(d2[0]))
if data[4] != "None":
d3 = data[4].split(" ")
wind_list = ["None", "N", "NNE", "NE", "ENE", "E", "ESE", "SE", "SSE", "S", "SSW", "SW", "WSW", "W", "WNW", "NW", "NNW"]
for i in range(0, len(wind_list)):
if d3[1] == wind_list[i]:
self.wind_com.set_active(i)
break
self.wind_sbtn.set_value(float(d3[0]))
self.humi_sbtn.set_value(float(data[5]))
d5 = data[6].split(" ")
airp_list = ["Steady", "Rising", "Falling"]
for i in range(0, len(airp_list)):
if d5[1] == airp_list[i]:
self.airp_com.set_active(i)
break
self.airp_sbtn.set_value(float(d5[0]))
self.visi_sbtn.set_value(float(data[7]))
clou_list1 = ["Sunny", "Mostly Sunny", "Partly Cloudy", "Mostly Cloudy", "Cloudy"]
clou_list2 = ["None", "Unknown", "Cirrus", "Cirrocumulus", "Cirrostratus", "Cumulonimbus", "Altocumulus", "Altostratus",
"Stratus", "Cumulus", "Stratocumulus"]
d81, d82 = datasets.split_list3([data[8]])
d82 = datasets.strip_items(d82, ["(", ")"])
for i in range(0, len(clou_list1)):
if d81[0] == clou_list1[i]:
self.clou_com.set_active(i)
break
for i in range(0, len(clou_list2)):
if d82[0] == clou_list2[i]:
self.clou_com2.set_active(i)
break
self.note_buffer.set_text(data[9])
# Connect 'Enter' key to the OK button.
ok_btn = self.get_widget_for_response(response_id = Gtk.ResponseType.OK)
ok_btn.set_can_default(True)
ok_btn.grab_default()
# Show the dialog.
self.show_all()
def get_data(data):
"""Gets the graph data."""
# Get the date data.
date_data = datasets.get_column(data, 0)
new_dates = get_dates(date_data)
# Get the data.
temp_data = datasets.convert_float(datasets.get_column(data, 1))
chil_data = datasets.convert_float(datasets.get_column(data, 2))
prec_data1, prec_data2 = datasets.split_list(datasets.get_column(data, 3))
prec_data = datasets.convert_float(datasets.none_to_zero(prec_data1))
wind_data1, wind_data2 = datasets.split_list(datasets.get_column(data, 4))
wind_data = datasets.convert_float(datasets.none_to_zero(wind_data1))
humi_data = datasets.convert_float(datasets.get_column(data, 5))
airp_data1, airp_data2 = datasets.split_list(datasets.get_column(data, 6))
airp_data = datasets.convert_float(airp_data1)
visi_data = datasets.convert_float(datasets.get_column(data, 7))
clou_data1, clou_data2 = datasets.split_list3(datasets.get_column(data, 8))
clou_data2 = datasets.strip_items(clou_data2, ["(", ")"])
prec_split = datasets.split_list2(datasets.get_column(data, 3))
prec_total = 0
prec_total_rain = 0
prec_total_snow = 0
prec_total_hail = 0
prec_total_sleet = 0
prec_none = 0
prec_rain = 0
prec_snow = 0
prec_hail = 0
prec_sleet = 0
for i in prec_split:
if i[1] != "None":
prec_total += float(i[0])
if i[1] == "None":
prec_none += 1
elif i[1] == "Rain":
prec_total_rain += float(i[0])
prec_rain += 1
elif i[1] == "Snow":
prec_total_snow += float(i[0])
prec_snow += 1
elif i[1] == "Hail":
prec_total_hail += float(i[0])
prec_hail += 1
elif i[1] == "Sleet":
prec_total_sleet += float(i[0])
prec_sleet += 1
prec_amount = [prec_total_rain, prec_total_snow, prec_total_hail, prec_total_sleet]
prec_days = [prec_none, prec_rain, prec_snow, prec_hail, prec_sleet]
airp_steady = 0
airp_rising = 0
airp_falling = 0
for i in airp_data2:
if i == "Steady":
airp_steady += 1
elif i == "Rising":
airp_rising += 1
elif i == "Falling":
airp_falling += 1
airp_change = [airp_steady, airp_rising, airp_falling]
clou_sunny = 0
clou_msunny = 0
clou_pcloudy = 0
clou_mcloudy = 0
clou_cloudy = 0
for i in clou_data1:
if i == "Sunny":
clou_sunny += 1
elif i == "Mostly Sunny":
clou_msunny += 1
elif i == "Partly Cloudy":
clou_pcloudy += 1
elif i == "Mostly Cloudy":
clou_mcloudy += 1
elif i == "Cloudy":
clou_cloudy += 1
clou_days = [clou_sunny, clou_msunny, clou_pcloudy, clou_mcloudy, clou_cloudy]
clou_types = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
for i in clou_data2:
if i == "None":
clou_types[0] += 1
elif i == "Unknown":
clou_types[1] += 1
elif i == "Cirrus":
clou_types[2] += 1
elif i == "Cirrocumulus":
clou_types[3] += 1
elif i == "Cirrostratus":
clou_types[4] += 1
elif i == "Cumulonimbus":
clou_types[5] += 1
elif i == "Altocumulus":
clou_types[6] += 1
elif i == "Altostratus":
clou_types[7] += 1
elif i == "Stratus":
clou_types[8] += 1
elif i == "Cumulus":
clou_types[9] += 1
elif i == "Stratocumulus":
clou_types[10] += 1
data = [date_data, new_dates, temp_data, prec_data, wind_data, humi_data, airp_data, prec_amount,
prec_days, airp_change, clou_days, clou_types, chil_data, visi_data]
return data
def filter_data(data, condition, insensitive):
"""Filters the data based on the user's conditions."""
# Create the list for the filtered data.
filtered = []
# Get the column of the data that is being filtered.
string_compare = False
col = []
field = condition[0].lower()
if field == "temperature":
col = datasets.convert_float(datasets.get_column(data, 1))
elif field == "wind chill":
col = datasets.convert_float(datasets.get_column(data, 2))
elif field == "precipitation amount":
col = datasets.get_column(data, 3)
col = datasets.convert_float(
datasets.none_to_zero(datasets.split_list(col)[0]))
elif field == "precipitation type":
string_compare = True
ncol = datasets.get_column(data, 3)
col = []
for i in ncol:
if i == "None":
col.append(i)
else:
i_split = i.split(" ")
col.append(i_split[1])
elif field == "wind speed":
col = datasets.get_column(data, 4)
col = datasets.convert_float(
datasets.none_to_zero(datasets.split_list(col)[0]))
elif field == "wind direction":
string_compare = True
ncol = datasets.get_column(data, 4)
col = []
for i in ncol:
if i == "None":
col.append(i)
else:
i_split = i.split(" ")
col.append(i_split[1])
elif field == "humidity":
col = datasets.convert_float(datasets.get_column(data, 5))
elif field == "air pressure":
col = datasets.convert_float(
datasets.split_list(datasets.get_column(data, 6))[0])
elif field == "air pressure change":
string_compare = True
col = datasets.split_list(datasets.get_column(data, 6))[1]
elif field == "visibility":
col = datasets.convert_float(datasets.get_column(data, 7))
elif field == "cloud cover":
string_compare = True
col = datasets.split_list3(datasets.get_column(data, 8))[0]
elif field == "cloud type":
string_compare = True
col = datasets.strip_items(
datasets.split_list3(datasets.get_column(data, 8))[1], ["(", ")"])
elif field == "notes":
string_compare = True
col = datasets.get_column(data, 9)
# Loop through the data, and add it to the filtered list if it matches the condition.
for i in range(0, len(data)):
matches = filter_compare(col[i], condition[1].lower(), condition[2],
string_compare, insensitive)
if matches:
filtered.append(data[i])
return filtered
def __init__(self, parent, dataset, data, date, units):
"""Create the dialog."""
# Determine the default units.
unit = 0
if config["units"] == "imperial":
unit = 1
Gtk.Dialog.__init__(self, "Edit %s - %s" % (date, dataset), parent, Gtk.DialogFlags.MODAL)
self.set_size_request(500, 600)
self.add_button("Cancel", Gtk.ResponseType.CANCEL)
self.add_button("OK", Gtk.ResponseType.OK)
# Create the grids.
new_box = self.get_content_area()
new_grid = Gtk.Grid()
new_grid.set_column_spacing(3)
new_grid.set_row_spacing(3)
new_box.add(new_grid)
# Temperature entry
temp_lbl = Gtk.Label("Temperature: ")
temp_lbl.set_alignment(0, 0.5)
new_grid.add(temp_lbl)
if units["temp"].encode("utf-8") == "°C":
temp_adj = Gtk.Adjustment(lower = -100, upper = 100, step_increment = 1)
else:
temp_adj = Gtk.Adjustment(lower = -150, upper = 150, step_increment = 1)
self.temp_sbtn = Gtk.SpinButton(digits = 2, adjustment = temp_adj)
self.temp_sbtn.set_numeric(False)
self.temp_sbtn.set_value(0)
new_grid.attach_next_to(self.temp_sbtn, temp_lbl, Gtk.PositionType.RIGHT, 1, 1)
self.temp_unit = Gtk.ComboBoxText()
for i in ["°C", "°F"]:
self.temp_unit.append_text(i)
self.temp_unit.set_active(unit)
new_grid.attach_next_to(self.temp_unit, self.temp_sbtn, Gtk.PositionType.RIGHT, 1, 1)
# Wind Chill entry
chil_lbl = Gtk.Label("Wind Chill: ")
chil_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(chil_lbl, temp_lbl, Gtk.PositionType.BOTTOM, 1, 1)
if units["temp"].encode("utf-8") == "°C":
chil_adj = Gtk.Adjustment(lower = -100, upper = 100, step_increment = 1)
else:
chil_adj = Gtk.Adjustment(lower = -150, upper = 150, step_increment = 1)
self.chil_sbtn = Gtk.SpinButton(digits = 2, adjustment = chil_adj)
self.chil_sbtn.set_numeric(False)
self.chil_sbtn.set_value(0)
new_grid.attach_next_to(self.chil_sbtn, chil_lbl, Gtk.PositionType.RIGHT, 1, 1)
self.chil_unit = Gtk.ComboBoxText()
for i in ["°C", "°F"]:
self.chil_unit.append_text(i)
self.chil_unit.set_active(unit)
new_grid.attach_next_to(self.chil_unit, self.chil_sbtn, Gtk.PositionType.RIGHT, 1, 1)
# Precipitation entry
prec_lbl = Gtk.Label("Precipitation: ")
prec_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(prec_lbl, chil_lbl, Gtk.PositionType.BOTTOM, 1, 1)
prec_adj = Gtk.Adjustment(lower = 0, upper = 100, step_increment = 1)
self.prec_sbtn = Gtk.SpinButton(digits = 2, adjustment = prec_adj)
self.prec_sbtn.set_numeric(False)
self.prec_sbtn.set_value(0)
new_grid.attach_next_to(self.prec_sbtn, prec_lbl, Gtk.PositionType.RIGHT, 1, 1)
self.prec_unit = Gtk.ComboBoxText()
for i in ["cm", "in"]:
self.prec_unit.append_text(i)
self.prec_unit.set_active(unit)
new_grid.attach_next_to(self.prec_unit, self.prec_sbtn, Gtk.PositionType.RIGHT, 1, 1)
# Precipitation Type entry
prec_lbl2 = Gtk.Label("Precipitation Type: ")
prec_lbl2.set_alignment(0, 0.5)
new_grid.attach_next_to(prec_lbl2, prec_lbl, Gtk.PositionType.BOTTOM, 1, 1)
self.prec_com = Gtk.ComboBoxText()
for i in ["None", "Rain", "Snow", "Hail", "Sleet"]:
self.prec_com.append_text(i)
self.prec_com.set_active(0)
new_grid.attach_next_to(self.prec_com, prec_lbl2, Gtk.PositionType.RIGHT, 2, 1)
# Wind Speed entry
wind_lbl = Gtk.Label("Wind Speed: ")
wind_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(wind_lbl, prec_lbl2, Gtk.PositionType.BOTTOM, 1, 1)
wind_adj = Gtk.Adjustment(lower = 0, upper = 500, step_increment = 1)
self.wind_sbtn = Gtk.SpinButton(digits = 2, adjustment = wind_adj)
self.wind_sbtn.set_numeric(False)
self.wind_sbtn.set_value(0)
new_grid.attach_next_to(self.wind_sbtn, wind_lbl, Gtk.PositionType.RIGHT, 1, 1)
self.wind_unit = Gtk.ComboBoxText()
for i in ["kph", "mph"]:
self.wind_unit.append_text(i)
self.wind_unit.set_active(unit)
new_grid.attach_next_to(self.wind_unit, self.wind_sbtn, Gtk.PositionType.RIGHT, 1, 1)
# Wind Direction entry
wind_lbl2 = Gtk.Label("Wind Direction: ")
wind_lbl2.set_alignment(0, 0.5)
new_grid.attach_next_to(wind_lbl2, wind_lbl, Gtk.PositionType.BOTTOM, 1, 1)
self.wind_com = Gtk.ComboBoxText()
for i in ["None", "N", "NNE", "NE", "ENE", "E", "ESE", "SE", "SSE", "S", "SSW", "SW", "WSW", "W", "WNW", "NW", "NNW"]:
self.wind_com.append_text(i)
self.wind_com.set_active(0)
new_grid.attach_next_to(self.wind_com, wind_lbl2, Gtk.PositionType.RIGHT, 2, 1)
# Humidity entry
humi_lbl = Gtk.Label("Humidity %: ")
humi_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(humi_lbl, wind_lbl2, Gtk.PositionType.BOTTOM, 1, 1)
humi_adj = Gtk.Adjustment(lower = 0, upper = 100, step_increment = 1)
self.humi_sbtn = Gtk.SpinButton(digits = 2, adjustment = humi_adj)
self.humi_sbtn.set_numeric(False)
self.humi_sbtn.set_value(0)
new_grid.attach_next_to(self.humi_sbtn, humi_lbl, Gtk.PositionType.RIGHT, 2, 1)
# Air Pressure entry
airp_lbl = Gtk.Label("Air Pressure: ")
airp_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(airp_lbl, humi_lbl, Gtk.PositionType.BOTTOM, 1, 1)
airp_adj = Gtk.Adjustment(lower = 0, upper = 2000, step_increment = 1)
self.airp_sbtn = Gtk.SpinButton(digits = 2, adjustment = airp_adj)
self.airp_sbtn.set_numeric(False)
self.airp_sbtn.set_value(0)
new_grid.attach_next_to(self.airp_sbtn, airp_lbl, Gtk.PositionType.RIGHT, 1, 1)
self.airp_unit = Gtk.ComboBoxText()
for i in ["hPa", "mbar"]:
self.airp_unit.append_text(i)
self.airp_unit.set_active(unit)
new_grid.attach_next_to(self.airp_unit, self.airp_sbtn, Gtk.PositionType.RIGHT, 1, 1)
# Air Pressure Change entry
airp_lbl2 = Gtk.Label("Air Pressure Change: ")
airp_lbl2.set_alignment(0, 0.5)
new_grid.attach_next_to(airp_lbl2, airp_lbl, Gtk.PositionType.BOTTOM, 1, 1)
self.airp_com = Gtk.ComboBoxText()
for i in ["Steady", "Rising", "Falling"]:
self.airp_com.append_text(i)
self.airp_com.set_active(0)
new_grid.attach_next_to(self.airp_com, airp_lbl2, Gtk.PositionType.RIGHT, 2, 1)
# Visibility entry
visi_lbl = Gtk.Label("Visibility: ")
visi_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(visi_lbl, airp_lbl2, Gtk.PositionType.BOTTOM, 1, 1)
visi_adj = Gtk.Adjustment(lower = 0, upper = 1000, step_increment = 1)
self.visi_sbtn = Gtk.SpinButton(digits = 2, adjustment = visi_adj)
self.visi_sbtn.set_numeric(False)
self.visi_sbtn.set_value(0)
new_grid.attach_next_to(self.visi_sbtn, visi_lbl, Gtk.PositionType.RIGHT, 1, 1)
self.visi_unit = Gtk.ComboBoxText()
for i in ["km", "mi"]:
self.visi_unit.append_text(i)
self.visi_unit.set_active(unit)
new_grid.attach_next_to(self.visi_unit, self.visi_sbtn, Gtk.PositionType.RIGHT, 1, 1)
# Cloud Cover entry
clou_lbl = Gtk.Label("Cloud Cover: ")
clou_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(clou_lbl, visi_lbl, Gtk.PositionType.BOTTOM, 1, 1)
self.clou_com = Gtk.ComboBoxText()
for i in ["Sunny", "Mostly Sunny", "Partly Cloudy", "Mostly Cloudy", "Cloudy"]:
self.clou_com.append_text(i)
self.clou_com.set_active(0)
new_grid.attach_next_to(self.clou_com, clou_lbl, Gtk.PositionType.RIGHT, 2, 1)
# Cloud Type entry
clou_lbl2 = Gtk.Label("Cloud Type: ")
clou_lbl2.set_alignment(0, 0.5)
new_grid.attach_next_to(clou_lbl2, clou_lbl, Gtk.PositionType.BOTTOM, 1, 1)
self.clou_com2 = Gtk.ComboBoxText()
for i in ["None", "Unknown", "Cirrus", "Cirrocumulus", "Cirrostratus", "Cumulonimbus", "Altocumulus", "Altostratus",
"Stratus", "Cumulus", "Stratocumulus"]:
self.clou_com2.append_text(i)
self.clou_com2.set_active(0)
new_grid.attach_next_to(self.clou_com2, clou_lbl2, Gtk.PositionType.RIGHT, 2, 1)
# Notes entry
note_lbl = Gtk.Label("Notes: ", valign = Gtk.Align.START)
note_lbl.set_alignment(0, 0.5)
new_grid.attach_next_to(note_lbl, clou_lbl2, Gtk.PositionType.BOTTOM, 1, 1)
self.note_view = Gtk.TextView()
self.note_view.set_wrap_mode(Gtk.WrapMode.WORD)
self.note_buffer = self.note_view.get_buffer()
note_win = Gtk.ScrolledWindow()
note_win.set_hexpand(True)
note_win.set_vexpand(True)
note_win.set_size_request(100, 100)
note_win.add(self.note_view)
new_grid.attach_next_to(note_win, note_lbl, Gtk.PositionType.RIGHT, 2, 1)
# Set the values.
self.temp_sbtn.set_value(float(data[1]))
self.chil_sbtn.set_value(float(data[2]))
if data[3] != "None":
d2 = data[3].split(" ")
prec_list = ["None", "Rain", "Snow", "Hail", "Sleet"]
for i in range(0, len(prec_list)):
if d2[1] == prec_list[i]:
self.prec_com.set_active(i)
break
self.prec_sbtn.set_value(float(d2[0]))
if data[4] != "None":
d3 = data[4].split(" ")
wind_list = ["None", "N", "NNE", "NE", "ENE", "E", "ESE", "SE", "SSE", "S", "SSW", "SW", "WSW", "W", "WNW", "NW", "NNW"]
for i in range(0, len(wind_list)):
if d3[1] == wind_list[i]:
self.wind_com.set_active(i)
break
self.wind_sbtn.set_value(float(d3[0]))
self.humi_sbtn.set_value(float(data[5]))
d5 = data[6].split(" ")
airp_list = ["Steady", "Rising", "Falling"]
for i in range(0, len(airp_list)):
if d5[1] == airp_list[i]:
self.airp_com.set_active(i)
break
self.airp_sbtn.set_value(float(d5[0]))
self.visi_sbtn.set_value(float(data[7]))
clou_list1 = ["Sunny", "Mostly Sunny", "Partly Cloudy", "Mostly Cloudy", "Cloudy"]
clou_list2 = ["None", "Unknown", "Cirrus", "Cirrocumulus", "Cirrostratus", "Cumulonimbus", "Altocumulus", "Altostratus",
"Stratus", "Cumulus", "Stratocumulus"]
d81, d82 = datasets.split_list3([data[8]])
d82 = datasets.strip_items(d82, ["(", ")"])
for i in range(0, len(clou_list1)):
if d81[0] == clou_list1[i]:
self.clou_com.set_active(i)
break
for i in range(0, len(clou_list2)):
if d82[0] == clou_list2[i]:
self.clou_com2.set_active(i)
break
self.note_buffer.set_text(data[9])
# Connect 'Enter' key to the OK button.
ok_btn = self.get_widget_for_response(response_id = Gtk.ResponseType.OK)
ok_btn.set_can_default(True)
ok_btn.grab_default()
# Show the dialog.
self.show_all()
def get_data(data):
"""Gets the graph data."""
# Get the date data.
date_data = datasets.get_column(data, 0)
new_dates = dates.get_datetimes(date_data)
# Get the data.
temp_data = datasets.convert_float(datasets.get_column(data, 1))
chil_data = datasets.convert_float(datasets.get_column(data, 2))
prec_data1, prec_data2 = datasets.split_list(datasets.get_column(data, 3))
prec_data = datasets.convert_float(datasets.none_to_zero(prec_data1))
wind_data1, wind_data2 = datasets.split_list(datasets.get_column(data, 4))
wind_data = datasets.convert_float(datasets.none_to_zero(wind_data1))
humi_data = datasets.convert_float(datasets.get_column(data, 5))
airp_data1, airp_data2 = datasets.split_list(datasets.get_column(data, 6))
airp_data = datasets.convert_float(airp_data1)
visi_data = datasets.convert_float(datasets.get_column(data, 7))
clou_data1, clou_data2 = datasets.split_list3(datasets.get_column(data, 8))
clou_data2 = datasets.strip_items(clou_data2, ["(", ")"])
prec_split = datasets.split_list2(datasets.get_column(data, 3))
prec_total = 0
prec_total_rain = 0
prec_total_snow = 0
prec_total_hail = 0
prec_total_sleet = 0
prec_none = 0
prec_rain = 0
prec_snow = 0
prec_hail = 0
prec_sleet = 0
for i in prec_split:
if i[1] != "None":
prec_total += float(i[0])
if i[1] == "None":
prec_none += 1
elif i[1] == "Rain":
prec_total_rain += float(i[0])
prec_rain += 1
elif i[1] == "Snow":
prec_total_snow += float(i[0])
prec_snow += 1
elif i[1] == "Hail":
prec_total_hail += float(i[0])
prec_hail += 1
elif i[1] == "Sleet":
prec_total_sleet += float(i[0])
prec_sleet += 1
prec_amount = [
prec_total_rain, prec_total_snow, prec_total_hail, prec_total_sleet
]
prec_days = [prec_none, prec_rain, prec_snow, prec_hail, prec_sleet]
airp_steady = 0
airp_rising = 0
airp_falling = 0
for i in airp_data2:
if i == "Steady":
airp_steady += 1
elif i == "Rising":
airp_rising += 1
elif i == "Falling":
airp_falling += 1
airp_change = [airp_steady, airp_rising, airp_falling]
clou_sunny = 0
clou_msunny = 0
clou_pcloudy = 0
clou_mcloudy = 0
clou_cloudy = 0
for i in clou_data1:
if i == "Sunny":
clou_sunny += 1
elif i == "Mostly Sunny":
clou_msunny += 1
elif i == "Partly Cloudy":
clou_pcloudy += 1
elif i == "Mostly Cloudy":
clou_mcloudy += 1
elif i == "Cloudy":
clou_cloudy += 1
clou_days = [
clou_sunny, clou_msunny, clou_pcloudy, clou_mcloudy, clou_cloudy
]
clou_types = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
for i in clou_data2:
if i == "None":
clou_types[0] += 1
elif i == "Unknown":
clou_types[1] += 1
elif i == "Cirrus":
clou_types[2] += 1
elif i == "Cirrocumulus":
clou_types[3] += 1
elif i == "Cirrostratus":
clou_types[4] += 1
elif i == "Cumulonimbus":
clou_types[5] += 1
elif i == "Altocumulus":
clou_types[6] += 1
elif i == "Altostratus":
clou_types[7] += 1
elif i == "Stratus":
clou_types[8] += 1
elif i == "Cumulus":
clou_types[9] += 1
elif i == "Stratocumulus":
clou_types[10] += 1
data = {
"date_labels": date_data,
"date_ticks": new_dates,
"temp_data": temp_data,
"prec_data": prec_data,
"wind_data": wind_data,
"humi_data": humi_data,
"airp_data": airp_data,
"prec_amount": prec_amount,
"prec_days": prec_days,
"airp_change": airp_change,
"clou_days": clou_days,
"clou_types": clou_types,
"chil_data": chil_data,
"visi_data": visi_data
}
return data
