WebThis function provides easy access to the Google and Microsoft Translation APIs via R. It can translate any language supported by the APIs (to see a list of the available languages, see the getGoogleLanguages() and getMicrosoftLanguages() functions). Text can be provided as either a column in a dataframe or as a single vector of text, where the … WebApr 22, 2024 · Translating a data frame is the process of changing a data frame values’ language to another language without changing the context, meaning, or content. Translating a Pandas Data Frame with Python can be …
Applying Lambda functions to Pandas Dataframe - GeeksforGeeks
WebDec 20, 2024 · image by author. data = json.loads(f.read()) load data using Python json module. After that, json_normalize() is called with the argument record_path set to ['students'] to flatten the nested list in students. The result looks great but doesn’t include school_name and class.To include them, we can use the argument meta to specify a list … WebDataFrames.jl provides a set of tools for working with tabular data in Julia. Its design and functionality are similar to those of pandas(in Python) and data.frame, data.tableand dplyr(in R), making it a great general purpose data science tool. lighthouse cape hatteras nc
Translate List and Pandas data frame using googletrans …
You can .apply the translator to the value column like this: df ['translated_value'] = df ['value'].apply (lambda x: translator.translate (x, dest='en').text) Share Improve this answer Follow answered Apr 28, 2024 at 20:40 oh_my_lawdy 434 4 15 2 WebDec 17, 2024 · DataFrames.jl is JuliaData’s take on a functional, easy-to-use, and SQL-like data frame management inside of the Julia programming language. Although DataFrames.jl is a rather young package, it frequently gets the job done far better than many of its competitors. That being said, it certainly might take some getting used to. WebApr 20, 2024 · df = df.apply(lambda x: np.square (x) if x.name == 'd' else x, axis=1) df. Output : In the above example, a lambda function is applied to row starting with ‘d’ and hence square all values corresponds to it. Example 4: Applying lambda function to multiple rows using Dataframe.apply () Python3. import pandas as pd. peaches open back fitted dress