(2, 3.0, "World")] In [50]: pd.DataFrame(data) Out[50]: A B C 0 1 2.0 b'Hello' 1 2 3.0 b'World' In [51]: pd.DataFrame(data, index=["first", "second"]) Out[51]: A B C first 1 2.0 b'Hello' second
# Series - 一维数据# 用列表生成 Series时,Pandas 默认自动生成整数索引,也可以指定索引importpandasaspd# 指定索引 - 适合用来代替字典s1 = pd.Series(data = [0,3,5,7],index=['a','b','c','d']) display(s1,s1.values,s1.index)# 取数据 values, 取索引 index# 不指定索引 - 默认从0开始的...
关于“barh”的解释: http://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.barh.html 更多细节:https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html?highlight=plot#pandas.DataFrame.plot 看个例子: 结果: 4.2 pandas.Series.plot 更多细节:https:...
ax = data.plot( column="childrenNum", categorical=True,# 以数值分类的方式展示 legend=True, cmap="tab20", # 对于分类数据,fmt设置无用 legend_kwds={"loc":"center left","bbox_to_anchor": (1,0.5),"fmt":"{:.0f}"}, ) # 显示各地级市包含区县数量 for indexin data.index: x = dat...
We can use the DataFrame.plot() function to distribute column values in a Pandas DataFrame plot. It is an in-built function for data visualization. Using
In [ ] # 运行以下代码 def fix_century(x): year = x.year - 100 if x.year > 1989 else x.year return datetime.date(year, x.month, x.day) # apply the function fix_century on the column and replace the values to the right ones data['Yr_Mo_Dy'] = data['Yr_Mo_Dy'].apply(fi...
有关详细信息,请参阅Wikipedia的boxplot条目。 参数: column :str或str的列表,可选 列名或名称列表或向量。 可以是任何有效的输入pandas.DataFrame.groupby()。 by: str或array-like,可选 DataFrame中的列pandas.DataFrame.groupby()。 一箱线图将每列的值来完成的。
sort_values astype resample shape to_xarray to_period kurt ffill idxmax plot to_clipboard cumsum nlargest var add abs any tshift nunique count combine keys values set_axis isnull sparse first_valid_index combine_first ewm notnull empty mask truncate to_csv bool at clip radd to_markdown ...
df_teams_countries_disciplines=df_teams \.groupby(by="NOC").agg({'Discipline':'count'})\.reset_index().sort_values(by='Discipline',ascending=False)ax=df_teams_countries_disciplines.plot.bar(x='NOC',xlabel='',figsize=(20,8)) ▲ df_teams_countries_disciplines–条形图 ...
In [4]: 代码语言:javascript 代码运行次数:0 运行 复制 df.info() <class 'pandas.core.frame.DataFrame'> RangeIndex: 6040 entries, 0 to 6039 Data columns (total 5 columns): UserID 6040 non-null int64 Gender 6040 non-null object Age 6040 non-null int64 Occupation 6040 non-null int64 Zip...