```py In [58]: ser = pd.Series(range(3), index=list("abc"), name="ser") In [59]: pd.DataFrame(ser) Out[59]: ser a 0 b 1 c 2 ```### 来自一个命名元组列表 列表中第一个 `namedtuple` 的字段名确定 `DataFrame` 的列。 其余的命名元组(或元组)只是被解包,它们的值被提供给 `...
新建 Cell， 输入以下代码并运行。# 直接写变量，利用 notebook 的特性打印表格 cmb_table_list[0]...
In [7]: import pyarrow as pa In [8]: data = list("abc") In [9]: ser_sd = pd.Series(data, dtype="string[pyarrow]") In [10]: ser_ad = pd.Series(data, dtype=pd.ArrowDtype(pa.string())) In [11]: ser_ad.dtype == ser_sd.dtype Out[11]: False In [12]: ser_sd.str...
for i, j in enumerate(df.columns.values.tolist()): print(i ,j) ## 最常用的变量(列)描述性统计指标,通常包括(和上面的部分重复): 查看行数:len(df); 变量取值的统计:df['name'].value_counts(dropna=False); 查看变量的可能取值:df['name'],返回的信息比value_counts更少,但返回的是列表方便引...
(most recent call last) Cell In[27], line 1 ---> 1 df.apply(f, axis="columns") File ~/work/pandas/pandas/pandas/core/frame.py:10374, in DataFrame.apply(self, func, axis, raw, result_type, args, by_row, engine, engine_kwargs, **kwargs) 10360 from pandas.core.apply import fr...
# this is also equivalent to ``df1.at['a','A']``In [61]: df1.loc['a', 'A']Out[61]: 0.13200317033032932 使用标签切片 使用切片与.loc一起使��时,如果起始和停止标签都存在于索引中,则返回两者之间(包括它们)的元素: In [62]: s = pd.Series(list('abcde'), index=[0, 3, 2...
In [8]: pd.Series(d) Out[8]: b1a0c2dtype: int64 如果传递了索引,则将从数据中与索引中的标签对应的值提取出来。 In [9]: d = {"a":0.0,"b":1.0,"c":2.0} In [10]: pd.Series(d) Out[10]: a0.0b1.0c2.0dtype: float64
unmerge_cell(r"test.xlsx") 3. 生成excel添加下拉列表 示例 fromopenpyxlimportload_workbookfromopenpyxl.worksheet.datavalidationimportDataValidationdefadd_drop_down_list(in_path, out_path):""" excel添加下拉列表 """wb = load_workbook(in_path)# 获取当前使用sheet页内容ws = wb.active# 设置下拉框列表...
Or maybe through using pandas you have an idea of your own or are looking for something in the documentation and thinking ‘this can be improved’...you can do something about it! Feel free to ask questions on the mailing list or on Slack. As contributors and maintainers to this project...
use the mailing list. Examples >>> import geopandas >>> from shapely.geometry import Polygon >>> p1 = Polygon([(0, 0), (1, 0), (1, 1)]) >>> p2 = Polygon([(0, 0), (1, 0), (1, 1), (0, 1)]) >>> p3 = Polygon([(2, 0), (3, 0), (3, 1), (2, 1)])...