Shulou(Shulou.com)06/03 Report--

What is pandas? You may see a variety of explanations, but ta is actually a data analysis package. There's nothing to explain.

There are three common data structures in pandas: Series (one-dimensional array, also called sequence), DataFrame (two-dimensional table, similar to excel multi-row and multi-column), and Panel (three-dimensional array).

So what is the data structure? Is a collection of data types of one or more specific relationships that exist with each other.

Well, the concept is so simple, I believe that friends with python foundation should be easy to understand, if you do not. MMM... There is no such thing, right?

Today, let's first introduce the use of Series, the direct upload code, which has comments.

From pandas import Series# defines a sequence "" A sequence can hold different data types, the index index can also be ignored, can be accessed through the subscript (starting from 0) run may report an error: ImportError: C extension: No module named 'pandas._libs.tslib' not built. If you want to import pandas from the source directory, you may need to run 'python setup.py build_ext-inplace-force' to build the C extensions first. Solution: first pip3 uninstall pandas in pip3 install-- user pandas "" x=Series (['first','second','thrid']) print (' value by subscript', x [1]) print ('value by index', x ['second']) # x [3] can not cross the boundary access will report error # x.append (666) # cannot append a single element n=Series ([666]) Index= ['fourth']) # can append a sequence print (' after adding sequence', x.append (n)) if 1 in x.values: print ('good') # slice print (' slice:', x [1:3]) # location acquisition Commonly used for random sampling print (x [[0Power2]]) # delete # x.drop (0) # according to the subscript # x.drop ('first') # find the index name print (x.index [2]) according to the index # according to the index # delete by value Return the new sequence # x [2quotix.values # modified value x.index [True==x.values] # convert the dictionary to series#Series (dictionary format) # sort the index y=Series ([2pje 3pl 1pl 5], index= ['axiaoyunzhuo]) print (y.sort_index (ascending=True)) # ascending controls ascending or descending

OS: writing code is tiring, but it's really fun. Why don't you try it?

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