一文教你如何使用Python绘制瀑布图

pip install waterfallcharts (注意该库名)
pip install waterfall_ax (注意该库名)
pip install plotly

import pandas as pd
import matplotlib.pyplot as plt
plt.rcParams["figure.figsize"] = (16, 8)
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False

df = pd.DataFrame(
    data={
        "time": ["2021 end", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"],
        "users": [100, 120, 110, 150, 160, 190, 240, 200, 230, 240, 250, 280, 300]
    }
)

from waterfall_ax import WaterfallChart
fig, ax = plt.subplots(1, 1, figsize=(16, 8))
waterfall = WaterfallChart(df["users"].to_list())
wf_ax = waterfall.plot_waterfall(ax=ax, title="人生苦短，快学Python！")

fig, ax = plt.subplots(1, 1, figsize=(16, 8))
waterfall = WaterfallChart(
    df["users"].to_list(),
    step_names=df["time"].to_list(), 
    metric_name="# users", 
    last_step_label="now"
)
wf_ax = waterfall.plot_waterfall(ax=ax, title="人生苦短，快学Python！")

import waterfall_chart
df_1 = df.copy()
df_1["delta"] = df_1["users"].diff().fillna(100)
df_1

waterfall_chart.plot(df_1["time"], df_1["delta"])

df_2 = df_1.copy()
df_2["delta_text"] = df_2["delta"].astype(str)
df_2["measure"] = ["absolute"] + (["relative"] * 12)
df_2

fig = go.Figure(
    go.Waterfall(
        measure=df_2["measure"],
        x=df_2["time"],
        textposition="outside",
        text=df_2["delta_text"],
        y=df_2["delta"],
    )
)

fig.update_layout(
    title="人生苦短，快学Python！",
    showlegend=False
)

fig.show()

total_row = pd.DataFrame(
    data={
        "time": "now", 
        "users": 0, 
        "delta":0, 
        "delta_text": "", 
        "measure": "total"
    }, 
    index=[0]
)
df_3 = pd.concat([df_2, total_row], ignore_index=True)

fig = go.Figure(
    go.Waterfall(
        measure=df_3["measure"],
        x=df_3["time"],
        textposition="outside",
        text=df_3["delta_text"],
        y=df_3["delta"],
    )
)

fig.update_layout(
    title="人生苦短，快学Python！",
    showlegend=False
)

fig.show()