(numeric_columns), endpoint=False).tolist() data = np.concatenate((data, data[:, [0]]), axis=1) theta += theta[:1] fig, ax = plt.subplots(figsize=(6, 6), subplot_kw=dict(polar=True)) for d, s in zip(data, species): ax.fill(theta, d, alpha=0.1) ax.plot(theta, d, ...
pivot_table(df, values='Salary', index='City', columns='Name', aggfunc='mean') print(pivot_table) 13.2 数据重塑 代码语言:javascript 代码运行次数:0 运行 AI代码解释 pythonCopy code# 数据重塑 - melt melted_df = pd.melt(df, id_vars=['ID', 'Name'], var_name='Attribute', value_name...
# 选取10行数据保存,便于观察数据 data[:10].to_csv("./data/test.csv", columns=['open']) # 读取,查看结果 pd.read_csv("./data/test.csv") Unnamed: 0 open 0 2018-02-27 23.53 1 2018-02-26 22.80 2 2018-02-23 22.88 3 2018-02-22 22.25 4 2018-02-14 21.49 5 2018-02-13 21.40 ...
# 使用ix进行下表和名称组合做引 data.ix[0:4, ['open', 'close', 'high', 'low']] # 推荐使用loc和iloc来获取的方式 data.loc[data.index[0:4], ['open', 'close', 'high', 'low']] data.iloc[0:4, data.columns.get_indexer(['open', 'close', 'high', 'low'])] open close hig...
Pandas：按日历周分组，再绘制真实日期的分组条形图把周数加上52乘以年份，这样周数就能按照“年份”来...
groupby(['Mean Log GDP per capita','Year','Continent'])['Life Ladder'].mean().reset_index(),row='Mean Log GDP per capita',col='Continent',margin_titles=True )g = (g.map(plt.plot, 'Year','Life Ladder'))Life Ladder on the Y-axis, Year on the X-axis. The grid’s columns ...
后的锤子线交易策略 """# 初始化状态列df['持仓'] = 0df['现金'] = float(initial_cash)df['累计成本'] = 0.0df['交易信号'] = 0# 1:买入, -1:卖出df['止损价'] = 0.0df['止盈价'] = 0.0df['总资产'] =df['现金']# 检测锤子线df['锤子线信号'] = detect_hammer(df)# 交易参数...
plt.plot(x, y, marker='o', linestyle = '--', color = 'k') plt.xlabel(df_WoE.columns[0]) plt.ylabel('WoE') plt.title(str('WoE by ' + df_WoE.columns[0])) plt.xticks(rotation = rotation_of_x_axis_labels) 和更新的功能:...
In [4]: grouped = df.groupby("order", axis="columns") In [5]: grouped = df.groupby(["class","order"]) The mapping can be specified many different ways: A Python function, to be called on each of the axis labels. A list or NumPy array of the same length as the selected axis...
Currently if you have multiple date-type columns you will have the ability to toggle between them by way of a drop-down Furthermore, you can click on individual points in the timeseries to view the scatter plot of the points going into that correlation Within the scatter plot section you...