You've started taking a look at JSON files and you'll continue to explore how to navigate and traverse these files. One common use case of JSON files will be when you are connecting to various websites through their established APIs to retrieve data from them. With these, you are typicall...
Working with Excel Files using Excel js - In order to work with the Excel.js, you need to first install the package as a dependency in your project. To install Excel.js in your project, you need to run the following command − npm install exceljs Once
pandas to read data from files and databases and process them in memory. Once the processing is completed, you can write the dataframe back to a file or a database on your server or the cloud. In the next article in the series, I will talk about how to work with databases using ...
Repository files navigation README MIT license ddf_utils ddf_utils is a Python library and command line tool for people working with Tabular Data Package in DDF model. It provides various functions for ETL tasks, including string formatting, data transforming, generating datapackage.json, reading da...
As already mentioned, there are several way to create a pandas DataFrame. In this section, you’ll learn to do this using the DataFrame constructor along with:Python dictionaries Python lists Two-dimensional NumPy arrays FilesThere are other methods as well, which you can learn about in the ...
Theexportmethod exports the dataset into the specified format. The supported formats include CSV, YAML, XLSX, JSON, and Pandas dataframe. main.py import tablib ds = tablib.Dataset() ds.headers = ['first_name', 'last_name', 'occupation'] ...
Pass array to function Flow Control GO if else GO switch case GO for loop GO while loop Working with Files GO create, read, write and append to file GO Read File GO Parse YAML File GO FIFO Working with JSON GO Read JSON Data GO JSON Unmarshal Examples GO Parse ...
data=json.dumps(data), headers=headers, auth=HTTPKerberosAuth( mutual_authentication=REQUIRED, sanitize_mutual_error_response=False ), verify=False)</hdfs_path> You can get the logs by calling the command,https://{livy_host}:{livy_port}/batches/{batch_id}/log. ...
For example, the following command will run a detectnet_v2 training job with 4 GPUs: Copy Copied! docker run -it --rm --gpus all \ -v /path/in/host:/path/in/docker \ $DOCKER_CONTAINER \ detectnet_v2 train -e /path/to/experiment/spec.txt \ -r /path/to/results/dir \ -k $KEY...
JSON with Python importnumpyasnpfrompandasimportSeries,DataFrameimportpandasaspdjson_obj="""{ "zoo_animal":"Lion","food":["Meat","Veggies","Honey"],"fur":"Golden","clothes":null,"diet":[{"zoo_animal":"Gazelle","food":"grass","fur":"Brown"}]}"""importjsondata=json.loads(json_obj...