def missing_bar2(data: pd.DataFrame) -> str:
"""Generate missing values bar plot.
Args:
data: Pandas DataFrame to generate missing values bar plot from.
Returns:
The resulting missing values bar plot encoded as a string.
"""
labels = config["plot"]["missing"]["force_labels"].get(bool)
data = ((data.notnull()).astype('int')).where(lambda a:a==0,np.nan)
missingno.bar(
data,
figsize=(10, 5),
color=hex_to_rgb(config["html"]["style"]["primary_color"].get(str)),
fontsize=get_font_size(data),
labels=labels,
)
for ax0 in plt.gcf().get_axes():
ax0.grid(False)
if config["plot"]["missing"]["withPerc"].get(bool):
labels = [item.get_text() for item in plt.gcf().axes[2].get_xticklabels()]
labelsInt = [int(i) for i in labels]
labels2=np.round(np.array(labelsInt)/len(data),config["plot"]["missing"]["round"].get(int))
labels2 = ["{} ({})".format(i,j) for i,j in zip(labels,labels2)]
plt.gcf().axes[2].set_xticklabels(labels2)
plt.subplots_adjust(left=0.1, right=0.9, top=0.8, bottom=0.3)
return plot_360_n0sc0pe(plt)
def missing_bar(data: pd.DataFrame) -> str:
"""Generate missing values bar plot.
Args:
data: Pandas DataFrame to generate missing values bar plot from.
Returns:
The resulting missing values bar plot encoded as a string.
"""
with matplotlib.style.context([
"seaborn-ticks",
str(get_resource("styles/pandas_profiling_frame.mplstyle"))
]):
labels = config["plot"]["missing"]["force_labels"].get(bool)
ax = missingno.bar(
data,
figsize=(10, 5),
color=hex_to_rgb(
config["html"]["style"]["primary_color"].get(str)),
fontsize=get_font_size(data),
labels=labels,
)
for _, spine in ax.spines.items():
spine.set_visible(True)
for ax0 in plt.gcf().get_axes():
ax0.grid(False)
plt.subplots_adjust(left=0.1, right=0.9, top=0.8, bottom=0.3)
return plot_360_n0sc0pe(plt)
def missing_bar(data: pd.DataFrame) -> str:
"""Generate missing values bar plot.
Args:
data: Pandas DataFrame to generate missing values bar plot from.
Returns:
The resulting missing values bar plot encoded as a string.
"""
labels = config["plot"]["missing"]["force_labels"].get(bool)
missingno.bar(
data,
figsize=(10, 5),
color=hex_to_rgb(config["html"]["style"]["primary_color"].get(str)),
fontsize=get_font_size(data),
labels=labels,
)
for ax0 in plt.gcf().get_axes():
ax0.grid(False)
plt.subplots_adjust(left=0.1, right=0.9, top=0.8, bottom=0.3)
return plot_360_n0sc0pe(plt)
def missing_bar(config: Settings, data: pd.DataFrame) -> str:
"""Generate missing values bar plot.
Args:
config: Settings
data: Pandas DataFrame to generate missing values bar plot from.
Returns:
The resulting missing values bar plot encoded as a string.
"""
missingno.bar(
data,
figsize=(10, 5),
fontsize=get_font_size(data),
color=hex_to_rgb(config.html.style.primary_color),
labels=config.plot.missing.force_labels,
)
for ax0 in plt.gcf().get_axes():
ax0.grid(False)
plt.subplots_adjust(left=0.1, right=0.9, top=0.8, bottom=0.3)
return plot_360_n0sc0pe(config)