Most of these fall into the categrory of reductions or summary statistics, methods that exract(提取) a single value(like the sum or mean) from a Series of values from the rows or columns of a DataFrame. Compared
How to perform Pandas summary statistics on DataFrame and Series? Pandas provide the describe() function to calculate the descriptive summary statistics. By default, this describe() function calculates count, mean, std, min, different percentiles, and max on all numeric features or columns of the...
df.sum() #sum of values df.cumsum() #cummulative sum of values 从上到下的累加,输出一个新的dataframe df.min()/df.max() #Minimum/maximum values df.idxmin()/df.idxmax() #Minimum/maximum index values df.describe() #Summary statistics 所有特征计算汇总统计 df.mean() #Mean of values ...
基本的统计方法 Method Description count Number of non-NA values describe Compute set of summary statistics for Series or each DataFrame column min,max Comput
# Replace all null values with the mean (mean can be replaced with almost any function from the statistics module)df = round(df.fillna(df.mean()),2) 方法可用于替换DataFrame中的值 one = df.replace(100,'A') # Replace all values equal to 1 with 'one' ...
See Table 5-8 for a full list of summary statistics and related methods. Method Description count Number of non-NA values describe 描述性统计Series或DataFrame的列 min, max 极值 argmin, argmax 极值所有的位置下标 idmin, idmax 极值所对应的行索引label quantile 样本分位数 sum 求和 mean 求均值...
Concise summary of a DataFrame. help(data.describe)Help on method describeinmodule pandas.core.generic:describe(percentiles=None,include=None,exclude=None)method of pandas.core.frame.DataFrame instance Generates descriptive statistics that summarize the central tendency,dispersionandshape of a dataset's ...
DataFrame is a 2-dimensional labeled data structure with columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dict of Series objects. It is generally the most commonly used pandas object. 可以通过多种方式构建一个DataFrame。 Dict of 1D ndarrays,...
1. 创建DataFrame 创建一个包含五行、三列的数据框。 答案:importpandasas pdimportnumpyas npdata = pd. DataFrame (np.random.randn (5, 3) ,columns= ['A', 'B', 'C']) 2. 查看头尾数据 查看刚才创建的数据框的前3行和最后两行。 答案:print (data.head (3) )print (data.tail (2) ) ...
replace()函数用于用新值替换DataFrame列中的特定值。 # Replace values in dataset df = df.replace({"CA": "California", "TX": "Texas"}) # Replace values in a spesific column df["Customer Country"] = df["Customer Country"].replace({"United States": "USA", "Puerto Rico": "PR"}) ma...