def missing_matrix(data: pd.DataFrame) -> str:
"""Generate missing values matrix plot
Args:
data: Pandas DataFrame to generate missing values matrix from.
Returns:
The resulting missing values matrix 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.matrix(
data,
figsize=(10, 4),
color=hex_to_rgb(
config["html"]["style"]["primary_color"].get(str)),
fontsize=get_font_size(data) / 20 * 16,
sparkline=False,
labels=labels,
)
for _, spine in ax.spines.items():
spine.set_visible(True)
plt.subplots_adjust(left=0.1, right=0.9, top=0.7, bottom=0.2)
return plot_360_n0sc0pe(plt)
def missing_matrix(data: pd.DataFrame) -> str:
"""Generate missing values matrix plot
Args:
data: Pandas DataFrame to generate missing values matrix from.
Returns:
The resulting missing values matrix encoded as a string.
"""
labels = True
missingno.matrix(
data,
figsize=(10, 4),
color=hex_to_rgb("#337ab7"),
fontsize=10,
sparkline=False,
labels=labels,
)
plt.subplots_adjust(left=0.1, right=0.9, top=0.7, bottom=0.2)
return plot_360_n0sc0pe(plt)
def missing_matrix(data: pd.DataFrame) -> str:
"""Generate missing values matrix plot
Args:
data: Pandas DataFrame to generate missing values matrix from.
Returns:
The resulting missing values matrix encoded as a string.
"""
labels = config["plot"]["missing"]["force_labels"].get(bool)
missingno.matrix(
data,
figsize=(10, 4),
color=hex_to_rgb(config["html"]["style"]["primary_color"].get(str)),
fontsize=get_font_size(data) / 20 * 16,
sparkline=False,
labels=labels,
)
plt.subplots_adjust(left=0.1, right=0.9, top=0.7, bottom=0.2)
return plot_360_n0sc0pe(plt)
def missing_matrix(config: Settings, data: pd.DataFrame) -> str:
"""Generate missing values matrix plot
Args:
config: Settings
data: Pandas DataFrame to generate missing values matrix from.
Returns:
The resulting missing values matrix encoded as a string.
"""
missingno.matrix(
data,
figsize=(10, 4),
fontsize=get_font_size(data) / 20 * 16,
sparkline=False,
color=hex_to_rgb(config.html.style.primary_color),
labels=config.plot.missing.force_labels,
)
plt.subplots_adjust(left=0.1, right=0.9, top=0.7, bottom=0.2)
return plot_360_n0sc0pe(config)