更新：**在较新的Pandas版本中使用pd.isna()：
df_out= pd.DataFrame(data_out, columns=fields) df_out.to_excel(fout, sheet_name="Sheet1", index=False, header=True)#df_out.to_csv(fout, index=False, encoding="utf-8")if__name__=='__main__': dataframe_read_and_write(fin="data/tmp.xlsx", fout="data/tmp_out.xlsx") 7.2 ...
periods=10), columns=["Tokyo", "Beijing"]) def rain_condition(v): if v < 1.75: return "Dry" elif v < 2.75: return "Rain" return "Heavy Rain" def make_pretty(styler): styler.set_caption("Weather Conditions") styler.format(rain_condition) styler.format_index(lambda v: ...
Line 9: we finally print our output which shows that the value has NaN is True. Method 3: cell NaN value in a series using isnan We checked in the previous example the NaN value in a cell dataframe. We can also check inside of the pandas series if any cell value is NaN or not....
DEPS: Use ipython run_cell instead of run_code; remove pytest-asyncio (… Nov 7, 2023 typings TYP: update mypy and small pyi fixes from ruff (#54085) Jul 14, 2023 web DOC: Update two more links in pandas Ecosystem (#60931)
441 allow_object=True, 442 ) 444 if tz_parsed is not None: 445 # We can take a shortcut since the datetime64 numpy array 446 # is in UTC File ~/work/pandas/pandas/pandas/core/tools/datetimes.py:467, in _array_strptime_with_fallback(arg, name, utc, fmt, exact, errors) 456 ...
(mostrecentcalllast)CellIn[26],line1--->1s["f"]File~/work/pandas/pandas/pandas/core/series.py:1121,inSeries.__getitem__(self,key)1118returnself._values[key]1120elifkey_is_scalar:->1121returnself._get_value(key)1123# Convert generator to list before going through hashable part1124# (We...
(self, pat, flags, expand)2740 raise ValueError("pattern contains no capture groups")2742 if not expand and regex.groups > 1 and isinstance(self._data, ABCIndex):-> 2743 raise ValueError("only one regex group is supported with Index")2745 obj = self._data2746 result_dtype = _result_...
(v, *self.args, **self.kwargs) 1082 if isinstance(results[i], ABCSeries): 1083 # If we have a view on v, we need to make a copy because 1084 # series_generator will swap out the underlying data 1085 results[i] = results[i].copy(deep=False) Cell In[25], line 2, in f(s...
把某列中取值为0的值,全部替换为nan:df.age[df.age==0] = np.nan -- 这个写法真的比Stata的 if 帅气很多啊～! 如果国家这一列取值是 England,那么 region 那一列取值为'U.K.':df.region[df.country=='England'] = "U.K."; 修改某个单元格的取值:df.name[df.name=="王几行xing"] = "王...