Python how to read data without download file

Seaborn gives escape hatches to access the underlying Matplotlib objects, so you still have complete control. Seaborn's code is simpler than the raw Matplotlib runnable here :.

Plotly is a plotting ecosystem that includes a Python plotting library. It has three different interfaces:. Plotly plots are designed to be embedded in web apps. At its core, Plotly is actually a JavaScript library! It uses D3 and stack. The official Python and R libraries do just that. Here's the source code in Plotly which you can run here :. Bokeh pronounced "BOE-kay" specializes in building interactive plots, so this standard example doesn't show it off to its best.

Here is the code in Bokeh which you can run here. Altair is based on a declarative plotting language or "visualization grammar" called Vega. This means it's a well-thought-through API that scales well for complex plots, saving you from getting lost in nested-for-loop hell. Here's the code which you can run here :. Pygal focuses on visual appearance. It produces SVG plots by default, so you can zoom them forever or print them out without them getting pixellated.

Pygal plots also come with some good interactivity features built-in, making Pygal another underrated candidate if you're looking to embed plots in a web app. The source code looks like this and you can run it here :.

Pandas is an extremely popular data science library for Python. It allows you to do all sorts of data manipulation scalably, but it also has a convenient plotting API. Because it operates directly on data frames, the pandas example is the most concise code snippet in this article—even shorter than the Seaborn code! Here we simply used the loadtxt function as passed in delimeter as ',' because this is a CSV file.

Now if we print df , we will see our data in pretty decent numpy arrays that are ready to use. An important aspect of using this function is that you can quickly load in data from a file into numpy arrays. What is this?

Oh, It has skipped all the columns with string data types. How to deal with it? Just add another dtype parameter and set dtype to None which means that it has to take care of datatypes of each column itself.

Not to convert whole data to single dtype. Quite better than the first one, but here our Columns titles are Rows, to make them column titles, we have to add another parameter which is names and set it to True so it will take the first row as the Column Titles.

Now the last problem is that the columns which are of string data types are not the actual strings, but they are in bytes format. You can see that before every string, we have a b' so to encounter them, we have to decode them in utf-8 format. Pandas is a very popular data manipulation library, and it is very commonly used. This function is very popular due to its ease of use.

You can compare it with our previous codes, and you can check it. And guess what? For sequence types, the accepted keys should be integers and slice objects. If key is of an inappropriate type, TypeError may be raised; if of a value outside the set of indexes for the sequence after any special interpretation of negative values , IndexError should be raised.

For mapping types, if key is missing not in the container , KeyError should be raised. Called to implement assignment to self[key]. This should only be implemented for mappings if the objects support changes to the values for keys, or if new keys can be added, or for sequences if elements can be replaced.

Called to implement deletion of self[key]. This should only be implemented for mappings if the objects support removal of keys, or for sequences if elements can be removed from the sequence. Called by dict. This method is called when an iterator is required for a container. This method should return a new iterator object that can iterate over all the objects in the container. For mappings, it should iterate over the keys of the container. Iterator objects also need to implement this method; they are required to return themselves.

For more information on iterator objects, see Iterator Types. Called if present by the reversed built-in to implement reverse iteration. It should return a new iterator object that iterates over all the objects in the container in reverse order.

The membership test operators in and not in are normally implemented as an iteration through a container. However, container objects can supply the following special method with a more efficient implementation, which also does not require the object be iterable.

Called to implement membership test operators. Should return true if item is in self , false otherwise. For mapping objects, this should consider the keys of the mapping rather than the values or the key-item pairs.

The following methods can be defined to emulate numeric objects. Methods corresponding to operations that are not supported by the particular kind of number implemented e. If one of those methods does not support the operation with the supplied arguments, it should return NotImplemented. These functions are only called if the left operand does not support the corresponding operation 3 and the operands are of different types.

These methods should attempt to do the operation in-place modifying self and return the result which could be, but does not have to be, self. If a specific method is not defined, the augmented assignment falls back to the normal methods.

Otherwise, x. Called to implement the built-in functions complex , int and float. Should return a value of the appropriate type. Presence of this method indicates that the numeric object is an integer type.

Must return an integer. Called to implement the built-in function round and math functions trunc , floor and ceil. A context manager is an object that defines the runtime context to be established when executing a with statement. The context manager handles the entry into, and the exit from, the desired runtime context for the execution of the block of code. Context managers are normally invoked using the with statement described in section The with statement , but can also be used by directly invoking their methods.

Typical uses of context managers include saving and restoring various kinds of global state, locking and unlocking resources, closing opened files, etc. For more information on context managers, see Context Manager Types. Enter the runtime context related to this object.

Exit the runtime context related to this object. The parameters describe the exception that caused the context to be exited. If the context was exited without an exception, all three arguments will be None. If an exception is supplied, and the method wishes to suppress the exception i.

Otherwise, the exception will be processed normally upon exit from this method. The specification, background, and examples for the Python with statement. When using a class name in a pattern, positional arguments in the pattern are not allowed by default, i.

This class variable can be assigned a tuple of strings. The absence of this attribute is equivalent to setting it to. For example, if MyClass. The specification for the Python match statement. That behaviour is the reason why the following code raises an exception:.

If the implicit lookup of these methods used the conventional lookup process, they would fail when invoked on the type object itself:. Coroutine objects returned from async def functions are awaitable. The generator iterator objects returned from generators decorated with types. Must return an iterator. Should be used to implement awaitable objects.

For instance, asyncio. Future implements this method to be compatible with the await expression. PEP for additional information about awaitable objects.

Coroutine objects are awaitable objects. If the coroutine raises an exception, it is propagated by the iterator. Coroutines should not directly raise unhandled StopIteration exceptions. Coroutines also have the methods listed below, which are analogous to those of generators see Generator-iterator methods. However, unlike generators, coroutines do not directly support iteration.

Starts or resumes execution of the coroutine. If value is not None , this method delegates to the send method of the iterator that caused the coroutine to suspend. Raises the specified exception in the coroutine.

This method delegates to the throw method of the iterator that caused the coroutine to suspend, if it has such a method. Otherwise, the exception is raised at the suspension point. If the exception is not caught in the coroutine, it propagates back to the caller. Causes the coroutine to clean itself up and exit. If the coroutine is suspended, this method first delegates to the close method of the iterator that caused the coroutine to suspend, if it has such a method.

Then it raises GeneratorExit at the suspension point, causing the coroutine to immediately clean itself up. Finally, the coroutine is marked as having finished executing, even if it was never started.

Coroutine objects are automatically closed using the above process when they are about to be destroyed. Asynchronous iterators can be used in an async for statement. Must return an awaitable resulting in a next value of the iterator.

Should raise a StopAsyncIteration error when the iteration is over. Starting with Python 3. Returning anything else will result in a TypeError error.

Asynchronous context managers can be used in an async with statement. Navigation index modules next previous Python ». None This type has a single value. NotImplemented This type has a single value. See also Documentation for the gc module. Note This method may still be bypassed when looking up special methods as the result of implicit invocation via language syntax or built-in functions.

How the arguments are assembled depends on a : Direct Call The simplest and least common call is when user code directly invokes a descriptor method: x. Instance Binding If binding to an object instance, a.

Class Binding If binding to a class, A. Super Binding If a is an instance of super , then the binding super B, obj. See also PEP - Core support for typing module and generic types. Generic Documentation on how to implement generic classes that can be parameterized at runtime and understood by static type-checkers. Note Slicing is done exclusively with the following three methods. Note for loops expect that an IndexError will be raised for illegal indexes to allow proper detection of the end of the sequence.

Note The generator iterator objects returned from generators decorated with types. See also PEP for additional information about awaitable objects. An example of an asynchronous iterable object: class Reader : async def readline self Table of Contents 3. Data model 3.

Objects, values and types 3. The standard type hierarchy 3. Special method names 3. Basic customization 3. Customizing attribute access 3. Customizing module attribute access 3. Implementing Descriptors 3. Invoking Descriptors 3. Customizing class creation 3. Metaclasses 3. Resolving MRO entries 3. Determining the appropriate metaclass 3.

Preparing the class namespace 3. Executing the class body 3. Creating the class object 3. Uses for metaclasses 3. Customizing instance and subclass checks 3. Emulating generic types 3. Emulating callable objects 3.

Emulating container types 3. Emulating numeric types 3. With Statement Context Managers 3. Learn more. Ask Question. Asked 10 years, 2 months ago. Active 5 days ago. Viewed k times. Here's what I have: Image. Daniel Quinn Daniel Quinn 5, 3 3 gold badges 32 32 silver badges 52 52 bronze badges. There must be an issue where the requests is not able to fetch the image from the url.

Try the same just for testing purpose from another url. Add a comment. Active Oldest Votes. Andres Kull Andres Kull 3, 2 2 gold badges 13 13 silver badges 13 13 bronze badges. How to get back the image from response. Instead, I had to resort to http. When I try this I get: AttributeError: module 'requests' has no attribute 'get'. From: pillow. Show 1 more comment. StringIO urllib. Thanks, would just like to add that the same exact code will work with urllib2 with Python2 — sofly.

Nic Scozzaro 4, 1 1 gold badge 28 28 silver badges 38 38 bronze badges. Giovanni Cappellotto Giovanni Cappellotto 3, 1 1 gold badge 28 28 silver badges 31 31 bronze badges.