def testTimeZone(self):
id = py3k.b('Europe/Berlin')
timeZone = QTimeZone(id)
self.assertTrue(timeZone.isValid())
self.assertEqual(timeZone.id(), id)
name = timeZone.displayName(QTimeZone.GenericTime, QTimeZone.DefaultName)
self.assertTrue(name)
def read_data(fname):
# Read the CSV content
df = pd.read_csv(fname)
# Remove wrong magnitudes
df = df.drop(df[df.mag < 0].index)
magnitudes = df["mag"]
# My local timezone
timezone = QTimeZone(b"Europe/Berlin")
# Get timestamp transformed to our timezone
times = df["time"].apply(lambda x: transform_date(x, timezone))
return times, magnitudes
def read_data(fname):
df = pd.read_csv(fname)
df = df.drop(df[df.mag < 0].index)
magnitudes = df["mag"]
timezone = QTimeZone(b"Europe/Berlin")
times = df["time"].apply(lambda x: transform_date(x, timezone))
return times, magnitudes
def read_data(file_name):
df = pd.read_csv(file_name)
timezone = QTimeZone(b"North America")
times = df["submitted"].apply(lambda x: transform_date(x, timezone))
return times
def read_data(fname):
i_data = pd.read_csv(fname)
i_data = i_data.drop(i_data[i_data.mag < 0].index)
magnitudes = i_data["mag"]
timezone = QTimeZone(b"Asia/Singapore")
times = i_data["time"].apply(lambda x: transform_date(x, timezone))
return times, magnitudes
def read_data(fname):
# Read the csv data
df = pd.read_csv(fname)
# Remove incorrect magnitudes
df = df.drop(df[df.mag < 0].index)
magnitudes = df["mag"]
# Local timezone
timezone = QTimeZone(b"Europe/Berlin")
# Get timestamps transformed to local timezone
times = df["time"].apply(lambda x: transform_date(x, timezone))
return times, magnitudes
def read_data(csv_filepath):
# Read the CSV content.
df = pd.read_csv(csv_filepath)
# Remove wrong magnitudes.
df = df.drop(df[df.mag < 0].index)
magnitudes = df['mag']
# My local timezone.
timezone = QTimeZone(b'Europe/Berlin')
# Get timestamp transformed to our timezone.
times = df['time'].apply(lambda x: transform_date(x, timezone))
return times, magnitudes
def read_data(self, fname):
# read the csv content
df = pd.read_csv(fname)
# remove wrong magnitudes
df = df.drop(df[df.mag < 0].index)
magnitudes = df["mag"]
# my local timezone
timezone = QTimeZone(b"Europe/Berlin")
# get the timestamp transfered to our timezone
times = df["time"].apply(lambda x: self.transform_date(x, timezone))
return times, magnitudes
def read_data(fname):
# Считать содержимое CSV
df = pd.read_csv(fname)
"""df-переменная содержащая данные файла, в нее их закачивает метод read_csv(), если csv изменить Exel то csv не работает
fname-параметр, у нас в программе это путь к файлу
"""
# Удалить неправильные величины
df = df.drop(df[df.mag < 0].index)
magnitudes = df["mag"]
"""в список magnitudes записываются из столбца mag"""
# Мой местный часовой пояс
timezone = QTimeZone(b"Europe/Berlin")
# Получить временную метку, преобразованную в наш часовой пояс
times = df["time"].apply(lambda x: transform_date(x, timezone))
"""запускается функция transform_date """
depth = df["depth"]
""" в depth записываются значения из столбца"depth" """
return times, magnitudes, depth
