10 款常用 Python 数据可视化工具推荐

10 款常用 Python 数据可视化工具推荐 | 极客日志

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.show()

import seaborn as sns
import pandas as pd
df = pd.DataFrame({'x': [1, 2, 3], 'y': [4, 5, 6]})
sns.scatterplot(data=df, x='x', y='y')

from ggplot import *
qplot(x='x', y='y', data=df, geom='point')

from bokeh.plotting import figure, show
p = figure(title="Simple line example")
p.line([1, 2, 3], [4, 5, 6])
show(p)

import pygal
chart = pygal.Bar()
chart.add('Series', [1, 2, 3])
chart.render_to_file('bar_chart.svg')

import plotly.graph_objects as go
fig = go.Figure(data=go.Scatter(y=[1, 2, 3]))
fig.show()

from geoplotlib.utils import read_csv
from geoplotlib.map import Map
# 具体实现需结合地理数据加载

from gleam import Application
app = Application()
# 定义交互逻辑

import missingno as msno
msno.matrix(df)

from leather import BarChart
BarChart(['A', 'B'], [10, 20]).render_to_file('output.svg')

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