How do I make my plot show simple input as loaded from a(nother) class file?

问题

Got this:

import pandas as pd
from df import df
import matplotlib as plt
import seaborn as sns

class Data_load:
    def __init__(self, df):
        self.df = pd.read_csv(df, delimiter=';')

    # Data information section
    def get_EDA_columns(self):
        return self.df.columns

    def get_EDA_info(self):
        return self.df.info()

    def get_EDA_describe(self):
        return self.df.describe()

    def get_EDA_shape(self):
        return self.df.shape

    def get_EDA_value_counts(self):
        return self.df.value_counts()

    def get_EDA_isnull(self):
        return self.df.isnull()

    def get_EDA_dtypes(self):
        return self.df.dtypes

    def get_EDA_isna(self):
        return self.df.isna()

    def get_EDA_nunique(self):
        return self.df.nunique()

    # Groupby section
    def get_EDA_groupby_1(self):
        return self.df[["User Name", "unique date"]].groupby("User Name").size().sort_values(ascending=False).to_frame(name = 'count').reset_index()

    def get_EDA_groupby_2(self):
        return self.df[["col1", "User Name"]].groupby("col1").size().sort_values(ascending=False).to_frame(name = 'count').reset_index()

    def get_EDA_groupby_3(self):
        return self.df.groupby(["User Name", "col2", "unique date", "col1", "col3"]).agg(["count"]).reset_index()

    def get_EDA_groupby_4(self):
        return self.df.groupby("unique date")["User Name"].size().sort_values(ascending=False).to_frame(name = 'count').reset_index()

    def get_entire_dataset(self):
        return self.df

    def get_drop_dipl(self):
        return self.df.drop(df[df['col1'] == 'Dipl'].index)

    def get_drop_bach(self):
        return self.df.drop(df[df['col1'] == 'Bach'].index)

# Searched my way on internet to find a simple way of visualizing stats from parent class

import matplotlib.pyplot as plt

class Visualiser(Data_load):
    def __init__(self, df):
        super().__init__(df)
        self.fig, self.ax = plt.subplots()
        self.ln, = plt.plot(['col1'], ['col2']) *# = ??? - obviously not the right way to catch data from defs in parent class file*
        self.x_data, self.y_data = [], []
        plt.show()

    def plot_init(self):
        self.ax.set_xlim(0, 10000)
        self.ax.set_ylim(0, 1000)
        return self.ln

Hoped for this:

Calling for the Visualiser class in my main.py file, I only get an empty canvas as plt.show() or TypeError: string indices must be integers, if I attempt to place col values in

self.ln, = plt.plot(['col1'], ['col2'])

Anyone out there to provide an answer? Basically, I am just trying to learn how to pull a simple graph from a class file (inherited). BR Hubsandspokes

来源：https://stackoverflow.com/questions/65580088/how-do-i-make-my-plot-show-simple-input-as-loaded-from-another-class-file

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dataframe

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matplotlib