Given a Pandas DataFrame, we need to strip whitespaces from the values of particular columns. Pandas Strip Whitespace Suppose we have a DataFrame of some employee, and we have a column Name, now we have some extra whitespace in the name of the employee, we will strip this white space with...
# More pre-db insert cleanup...make a pass through the dataframe, stripping whitespace # from strings and changing any empty values to None # (not especially recommended but including here b/c I had to do this in real life one time) df = df.applymap(lambda x: str(x).strip() if ...
因为columns是String表示的,所以可以按照普通的String方式来操作columns: In [34]: df.columns.str.strip() Out[34]: Index(['Column A', 'Column B'], dtype='object') In [35]: df.columns.str.lower() Out[35]: Index([' column a ', ' column b '], dtype='object') In [32]: df = ...
最简单的情况是只传入`parse_dates=True`: ```py In [104]: with open("foo.csv", mode="w") as f: ...: f.write("date,A,B,C\n20090101,a,1,2\n20090102,b,3,4\n20090103,c,4,5") ...: # Use a column as an index, and parse it as dates. In [105]: df = pd.read_csv...
Series.str.rstrip([to_strip]) Strip whitespace (including newlines) from each string in the Series/Index from right side. Series.str.slice([start, stop, step]) Slice substrings from each element in the Series/Index Series.str.slice_replace([start, stop, repl]) Replace a slice of each ...
strip()Out[34]: Index(['Column A', 'Column B'], dtype='object')In [35]: df.columns.str.lower()Out[35]: Index([' column a ', ' column b '], dtype='object') In [32]: df = pd.DataFrame(np.random.randn(3, 2), ...: columns=[' Column A ', ' Column B '], index=...
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delim_whitespace: 表示分隔符为空白字符, 可以是一个空格, 两个空格 index_col: 表示哪个或者哪些列作为index prefix: 当导入的数据没有header时, 设置此参数会自动加一个前缀 通用解析参数 dtype:读取数据时修改列的类型 skip_rows: 过滤行 skip_blank_lines: 过滤掉空行 ...
Index([u'a', u'b', u'c', u'd'], dtype='object') We expected that the column names/columns be stripped of white spaces. Apologies for the noise if this has already been reported or is being addressed. Output ofpd.show_versions() ...
from unicodedata import normalize def clean_normalize_whitespace(x): if isinstance(x, str): return normalize('NFKC', x).strip() else: return x 用applymap将这个函数用于整个DataFrame上: df_GDP = df_GDP.applymap(clean_normalize_whitespace) 需要注意的是:applymap函数非常慢,所以在使用applymap时应...