82 lines
2.8 KiB
Python
82 lines
2.8 KiB
Python
from typing import Any, Dict
|
|
from matplotlib import pyplot as plt
|
|
import pandas as pd
|
|
import seaborn as sns
|
|
from .common import common_input_types
|
|
from .util import plot_post_steps
|
|
from .util import set_up_sns_style_palette
|
|
from .util import process_y_columns_and_labels
|
|
from ..pandas_wrapper.utils import column_label_string_to_target_type
|
|
|
|
class SNSBar:
|
|
"""
|
|
SNS Bar Chart:
|
|
Generates a bar chart from a Pandas DataFrame using Seaborn.
|
|
|
|
For style and palette parameters, refer to [SNS Line Plot documentation](sns_line.md).
|
|
|
|
category: Plot
|
|
"""
|
|
|
|
@classmethod
|
|
def INPUT_TYPES(cls) -> Dict[str, Any]:
|
|
"""
|
|
Defines the input types for the `bar_chart` function.
|
|
|
|
Returns:
|
|
Dict[str, Any]: A dictionary specifying required input types.
|
|
"""
|
|
return common_input_types()
|
|
|
|
RETURN_TYPES: tuple = ("IMAGE",)
|
|
FUNCTION: str = "bar_chart"
|
|
CATEGORY: str = "Data Analysis"
|
|
|
|
def bar_chart(self,
|
|
dataframe: pd.DataFrame,
|
|
x_column_name: str,
|
|
y_column_name: str,
|
|
title: str,
|
|
x_axis_label: str,
|
|
y_axis_label: str,
|
|
legend_label: str,
|
|
x_tick_as_int: bool,
|
|
style: str=None,
|
|
palette: str=None) -> tuple:
|
|
"""
|
|
Generates a bar chart from a pandas DataFrame.
|
|
|
|
Args:
|
|
dataframe (DataFrame): The DataFrame.
|
|
x_column_name (str): The column name for the x-axis.
|
|
y_column_name (str): The column name for the y-axis.
|
|
title (str): The title of the plot.
|
|
x_axis_label (str): The label for the x-axis data.
|
|
y_axis_label (str): The label for the y-axis data.
|
|
x_tick_as_int (bool): If set, use integers for x ticks. For example,
|
|
if ticks show floating point numbers for years, e.g. 2002.5,
|
|
setting this flag will show integer values instead.
|
|
style (str): Style of the plot
|
|
palette (str): Palette of the plot
|
|
Returns:
|
|
tuple: A tuple containing the image tensor representation of the plot.
|
|
"""
|
|
df = dataframe
|
|
set_up_sns_style_palette(style, palette)
|
|
x_column_name = column_label_string_to_target_type(df, x_column_name)
|
|
y_columns, labels = process_y_columns_and_labels(df, y_column_name, legend_label)
|
|
|
|
# Create the plot
|
|
fig, ax = plt.subplots()
|
|
for i in range(len(y_columns)):
|
|
sns.barplot(x=df[x_column_name], y=df[y_columns[i]], ax=ax, label=labels[i])
|
|
|
|
return plot_post_steps(
|
|
fig,
|
|
ax,
|
|
plt,
|
|
title,
|
|
x_axis_label,
|
|
y_axis_label,
|
|
x_tick_as_int)
|