代码语言:javascript 代码运行次数:0 运行 AI代码解释 In [47]: pd.set_option("large_repr", "info") In [48]: df Out[48]: <class 'pandas.core.frame.DataFrame'> RangeIndex: 10 entries, 0 to 9 Data columns (total 10 columns): # Column Non-Null Count Dtype --- --- --- --- 0...
pd.read_csv("stock_day2.csv", names=["open","high","close","low","volume","price_change","p_change","ma5","ma10","ma20","v_ma5","v_ma10","v_ma20","turnover"]) 2.写入CSV文件:datafram.tocsv() DataFrame.to_csv(path_or_buf=None,sep=',',columns=None,header=True,in...
#导出图层 (df.style.highlight_null(null_color='red') .format({'7月':'{:.0f}','增长率':'{:.2%}','自增长率':'{:.2%}'},na_rep='空值') .to_excel(r'C:\Users\尚天强\Desktop\styled.xlsx', engine='openpyxl',index=False)) 三、色阶 使用pandas设置色阶,类似Excel条件格式中的色阶...
# we have automagically already created an index (in the first section) In [531]: i = store.root.df.table.cols.index.index In [532]: i.optlevel, i.kind Out[532]: (6, 'medium') # change an index by passing new parameters In [533]: store.create_table_index("df", optlevel=9...
data['收盘价(元)'].pct_change() #以5个数据作为一个数据滑动窗口,在这个5个数据上取均值 df['收盘价(元)'].rolling(5).mean() 数据修改 # 删除最后一行 df = df.drop(labels=df.shape[0]-1) # 添加一行数据['Perl',6.6] row = {<!-- -->'gr...
index:行标签。如果没有传入索引参数,则默认会自动创建一个从0-N的整数索引。 columns:列标签。如果没有传入索引参数,则默认会自动创建一个从0-N的整数索引。 通过已有数据创建 举例一: pd.DataFrame(np.random.randn(2,3)) 结果: 举例二:创建学生成绩表 ...
df['涨跌幅_计算'] = df['收盘价'].pct_change(-1)#类似于diff,但是求的是两个数直接的比例,相当于求涨跌幅 十二、cum(cumulative)类函数 df['成交量_cum'] = df['成交量'].cumsum()#该列的累加值print(df[['成交量','成交量_cum']])print((df['涨跌幅'] + 1.0).cumprod())#该列的累乘...
例子:header=0,header=None(无列名) names: 指定列名。 例子:names=['A', 'B', 'C'] index_col: 指定哪一列作为行索引。 默认值是 None。 例子:index_col=0 skiprows: 跳过前几行数据。 例子:skiprows=3(跳过前 3 行) usecols: 指定要读取的列。 例子:usecols=['A', 'B'] 或 usecols=...
pandas will attempt to infer the `dtype`from the data.Note that when `data` is a NumPy array, ``data.dtype`` is*not* used for inferring the array type. This is becauseNumPy cannot represent all the types of data that can beheld in extension arrays.Currently, pandas will infer an exte...
<class 'pandas.core.frame.DataFrame'> RangeIndex: 100799 entries, 0 to 100798 Data columns (total 2 columns): # Column Non-Null Count Dtype --- --- --- --- 0 ymd 100799 non-null object 1 time 100799 non-null object dtypes: object(2) memory usage: 1.5+ MB 2 创建测试对象 方法...