WebAssume that "df" is a Dataframe. The following code (with comments) will show various options to describe a dataframe. # get a row count; df. count # get the approximate count (faster than the .count()) df. rdd. countApprox # print the schema (shape of your df) df. printSchema # get the columns as a list; df. columns WebTo get shape or dimensions of a DataFrame in Pandas, use the DataFrame.shape attribute. This attribute returns a tuple representing the dimensionality of this DataFrame. The dimensions are returned as tuple (rows, columns). In this tutorial, we will learn how to get the dimensionality of given DataFrame using DataFrame.shape attribute. Examples
How to get the Shape of a Pandas DataFrame - codesource.io
Web1/31 Pandas Df data.shape-column x row data.size-total number of elements… rows*columns = size data.info-Prints columns and what the total count is and if there's any column that's null-Null - an element that's empty data.describe()-Provides statistical description of data-Identifies the columns that has numbers data.columns-Index with … WebMar 10, 2024 · Pandas has built-in properties that offer metrics on the size, shape, and dimensions of your DataFrames. These attributes can inform your analysis. For example, … ikea wood kitchen island maintenance
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WebIts pretty complicated but quite handy, best shown by an example #Statistics of the dataframe df. describe df ['col2']. sum #Sum of a specified column df ['col2']. unique #Returns the list of unique values along the indexed column df ['col2']. nunique #Returns the total number of unique values along the indexed column df ['col2']. value_counts ... WebAug 25, 2024 · Pandas is one of those packages and makes importing and analyzing data much easier. Pandas dataframe.info () function is used to get a concise summary of the dataframe. It comes really handy when doing exploratory analysis of the data. To get a quick overview of the dataset we use the dataframe.info () function. Webdf = ddf.compute () df As you can see, the .compute () method triggers execution and we get a Pandas dataframe: type (df) # >>> pandas.core.frame.DataFrame Computing simple operations on lazy dataframes Next, let’s do a simple operation on our Dask dataframe, just to demonstrate laziness. is there uber in great falls montana