def Histogram(dfs,
measurement,
configs,
analysisType,
bins=50,
iqr=None,
**addConfigs):
"""Generates a Points Plot with a corresponding Histogram"""
newConfigs = addConfigs
log.info("Generating histograms for measurement {}...".format(measurement))
finalplots = None
try:
for key in dfs["keys"]:
log.info("Generating histograms for measurement {} for file {}...".
format(measurement, key))
# Sanatize data
data = dfs[key]["data"][measurement].dropna() # Drop all nan
if iqr:
log.info("Outliers correction with iqr: {}".format(iqr))
data = reject_outliers(data, iqr)
mean = np.round(np.mean(data), 2)
rms = np.round(np.sqrt(np.mean(data**2)), 2)
std = np.round(np.std(data), 2)
median = np.round(np.median(data), 2)
data = np.histogram(data, bins=bins)
plt = hv.Histogram(data,
label="Histogram: {}".format(measurement),
group="Histogram: {}: {}".format(
measurement, key))
try:
xlabel = "{} [{}]".format(
measurement, dfs[dfs["keys"][0]]["units"][dfs[
dfs["keys"][0]]["measurements"].index(measurement)])
except Exception as err:
log.error(
"Label could not be generated for Histogram {}. Error: {}".
format(measurement, err))
xlabel = "X-Axis"
plt.opts(xlabel=xlabel)
# Update the plot specific options if need be
generalOptions = configs[analysisType].get("General", {})
newConfigs.update(generalOptions.copy())
data_options = configs[analysisType].get(measurement, {}).get(
"Single Histogram", {}).get("PlotOptions", {})
newConfigs.update(configs[analysisType].get(
"{}Options".format("Histogram"), {}))
newConfigs.update(data_options)
plots = customize_plot(plt, "", configs[analysisType],
**newConfigs)
# Add text
text = '\nMean: {mean} \n' \
'Median: {median} \n' \
'RMS: {rms}\n' \
'std: {std}'.format(mean=mean,
median=median,
rms=rms,
std=std)
log.info(text)
y = data[0].max()
x = data[1][int(len(data[1]) * 0.9)]
text = hv.Text(x, y, text).opts(fontsize=30)
#text = text_box(text, x, y, boxsize= (100, 150))
plots = plots * text
if finalplots:
finalplots += plots
else:
finalplots = plots
except Exception as err:
log.error(
"Unexpected error happened during Hist plot generation {}. Error: {}"
.format(measurement, err))
return None
return finalplots
def concatHistogram(dfs,
measurement,
configs,
analysisType,
bins=50,
iqr=None,
**addConfigs):
"""Concatenates dataframes and generates a Histogram for all passed columns"""
newConfigs = addConfigs
log.info("Generating concat histograms for measurements {}...".format(
measurement))
try:
df = dfs["All"]
# Sanatize data
data = df[measurement].dropna() # Drop all nan
if iqr:
log.info("Outliers correction with iqr: {}".format(iqr))
data = reject_outliers(data, iqr)
mean = np.round(np.mean(data), 2)
rms = np.round(np.sqrt(np.mean(data**2)), 2)
std = np.round(np.std(data), 2)
median = np.round(np.median(data), 2)
data = np.histogram(data, bins=bins)
plt = hv.Histogram(
data,
label="Concatenated Histogram: {}".format(measurement),
group="Concatenated Histogram: {}".format(measurement))
#plt = hv.Histogram(data, vdims=to_plot, group="Concatenated Histogram: {}".format(to_plot))
try:
xlabel = "{} [{}]".format(
measurement, dfs[dfs["keys"][0]]["units"][dfs[
dfs["keys"][0]]["measurements"].index(measurement)])
except Exception as err:
log.error(
"Label could not be genereated for concatonated Histogram {}. Error: {}"
.format(measurement, err))
xlabel = "X-Axis"
plt.opts(xlabel=xlabel)
# Update the plot specific options if need be
generalOptions = configs[analysisType].get("General", {})
newConfigs.update(generalOptions.copy())
data_options = configs[analysisType].get(measurement, {}).get(
"Concatenated Histogram", {}).get("PlotOptions", {})
newConfigs.update(configs[analysisType].get(
"{}Options".format("Histogram"), {}))
newConfigs.update(data_options)
#addConfigs.update({"xlabel": measurement})
plots = customize_plot(plt, "", configs[analysisType], **newConfigs)
# Add text
text = '\nMean: {mean} \n' \
'Median: {median} \n' \
'RMS: {rms}\n' \
'std: {std}'.format(mean=mean,
median=median,
rms=rms,
std=std)
log.info(text)
y = data[0].max()
x = data[1][int(len(data[1]) * 0.9)]
text = hv.Text(x, y, text).opts(fontsize=30)
plots = plots * text
except Exception as err:
log.error(
"Unexpected error happened during concatHist plot generation {}. Error: {}"
.format(measurement, err))
return None
return plots