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Showing posts with the label iot in automotive

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Top Questions People Ask About Pandas, NumPy, Matplotlib & Scikit-learn — Answered!

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 Whether you're a beginner or brushing up on your skills, these are the real-world questions Python learners ask most about key libraries in data science. Let’s dive in! 🐍 🐼 Pandas: Data Manipulation Made Easy 1. How do I handle missing data in a DataFrame? df.fillna( 0 ) # Replace NaNs with 0 df.dropna() # Remove rows with NaNs df.isna(). sum () # Count missing values per column 2. How can I merge or join two DataFrames? pd.merge(df1, df2, on= 'id' , how= 'inner' ) # inner, left, right, outer 3. What is the difference between loc[] and iloc[] ? loc[] uses labels (e.g., column names) iloc[] uses integer positions df.loc[ 0 , 'name' ] # label-based df.iloc[ 0 , 1 ] # index-based 4. How do I group data and perform aggregation? df.groupby( 'category' )[ 'sales' ]. sum () 5. How can I convert a column to datetime format? df[ 'date' ] = pd.to_datetime(df[ 'date' ]) ...

IoT Project in auto industry real guidelines you need to implement

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IoT enabling traffic management and control: Cars should be able to organise themselves in order to avoid traffic jams and to optimise drive energy usage. 1# Why IoT in auto industry This may be done in coordination and cooperation with the infrastructure of a smart city’s traffic control and management system. Additionally dynamic road pricing and parking tax can be important elements of such a system. Further mutual communications between the vehicles and with the infrastructure enable new methods for considerably increasing traffic safety, thus contributing to the reduction in the number of traffic accidents. IOT implementation #2 New Opportunities IoT enabling new transport scenarios (multi-modal transport): In such scenarios, e.g. automotive OEMs see themselves as mobility providers rather than manufacturers of vehicles. The user will be offered an optimal solution for transportation from Ato B, based on all available and suitable transport means. Thus, based...